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735 results on '"Kise, Koichi"'

701. A Muscular Activation Controlled Rehabilitation Robot System

Author

Akdoğan, Erhan, Şişman, Zeynep, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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702. Buyer Coalitions on JADE Platform

Author

Boongasame, Laor, Wathanathamsiri, Sakon, Pichanachon, Akawuth, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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703. Casual Schedule Management and Shared System Using an Avatar

Author

Yoshino, Takashi, Yamano, Takayuki, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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704. Semantic Distance Measure between Ontology Concept’s Attributes

Author

Pietranik, Marcin, Nguyen, Ngoc Thanh, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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705. Merging Belief Bases by Negotiation

Author

Tran, Trong Hieu, Vo, Quoc Bao, Kowalczyk, Ryszard, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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706. Adaptive HTTP Request Distribution in Time-Varying Environment of Globally Distributed Cluster-Based Web System

Author

Zatwarnicka, Anna, Zatwarnicki, Krzysztof, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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707. Snapshot Reachability Graphs for Alvis Models

Author

Szpyrka, Marcin, Kotulski, Leszek, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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708. Labelled Transition System Generation from Alvis Language

Author

Kotulski, Leszek, Szpyrka, Marcin, Sedziwy, Adam, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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709. Distributed BitTable Multi-Agent Association Rules Mining Algorithm

Author

Atteya, Walid Adly, Dahal, Keshav, Hossain, M. Alamgir, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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710. Fuzzy c-Means Clustering with Mutual Relation Constraints : Construction of Two Types of Algorithms

Author

Endo, Yasunori, Hamasuna, Yukihiro, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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711. Sentiment Analysis of Customer Reviews: Balanced versus Unbalanced Datasets

Author

Burns, Nicola, Bi, Yaxin, Wang, Hui, Anderson, Terry, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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712. A New Classifier Ensembles Framework

Author

Parvin, Hamid, Minaei-Bidgoli, Behrouz, Beigi, Akram, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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713. A Library of Nonlinearities for Modeling and Simulation of Hybrid Systems

Author

Ionescu, Florin, Arotaritei, Dragos, Arghir, Stefan, Constantin, George, Stefanoiu, Dan, Stratulat, Florin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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714. Evolution of Iterative Formulas Using Cartesian Genetic Programming

Author

Minarik, Milos, Sekanina, Lukas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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715. Adaptive Recurrent Neuro-Fuzzy Networks Based on Takagi-Sugeno Inference for Nonlinear Identification in Mechatronic Systems

Author

Ionescu, Florin, Arotaritei, Dragos, Arghir, Stefan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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716. Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies

Author

Ishihara, Seiji, Igarashi, Harukazu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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717. Cluster Validity Measures Based on the Minimum Description Length Principle

Author

Georgieva, Olga, Tschumitschew, Katharina, Klawonn, Frank, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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718. Things to Know about a (dis)similarity Measure

Author

Belanche, Lluís, Orozco, Jorge, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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719. Adaptive Request Distribution in Cluster-Based Web System

Author

Zatwarnicki, Krzysztof, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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720. A New Clustering Algorithm with the Convergence Proof

Author

Parvin, Hamid, Minaei-Bidgoli, Behrouz, Alizadeh, Hosein, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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721. Globally Evolved Dynamic Bee Colony Optimization

Author

Pertiwi, Anggi Putri, Suyanto, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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722. On the Comparison of Parallel Island-Based Models for the Multiobjectivised Antenna Positioning Problem

Author

Segredo, Eduardo, Segura, Carlos, León, Coromoto, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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723. Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machine

Author

Jumutc, Vilen, Bondarenko, Andrey, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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724. A Trajectory Tracking FLC Tuned with PSO for Triga Mark-II Nuclear Research Reactor

Author

Lokman, Gürcan, Baba, A. Fevzi, Topuz, Vedat, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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725. More than ink — Realization of a data-embedding pen.

Author

Liwicki, Marcus, Uchida, Seiichi, Yoshida, Akira, Iwamura, Masakazu, Omachi, Shinichiro, and Kise, Koichi

Subjects
*INK, *DATA analysis, *PATTERN recognition systems, *INFORMATION theory, *ROBUST control, *PHOTOGRAPHY
Abstract

Abstract: In this paper we present a novel digital pen device, called data-embedding pen, for enhancing the value of handwriting on physical paper. This pen produces an additional ink-dot sequence along a written stroke during writing. This ink-dot sequence represents arbitrary information, such as writer’s name and writing date. Since the information is placed on the paper as an ink-dot sequence, it can be retrieved just by scanning or photographing the paper. In addition to the hardware of the data-embedding pen, this paper also proposes a coding scheme for reliable data-embedding and retrieval. In fact, the physical data-embedding on a paper will undergo various severe errors and therefore a robust coding scheme is necessary. Through experiments on data written by two writers, we show that we can embed 32 bits on short and simple or even on more complex patterns and finally retrieve them with a high reliability. [Copyright &y& Elsevier]

Published
2014
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726. Affine-invariant character recognition by progressive removing.

Author

Iwamura, Masakazu, Horimatsu, Akira, Niwa, Ryo, Kise, Koichi, Uchida, Seiichi, and Omachi, Shinichiro

Subjects
*IMAGE analysis, *ELECTRIC distortion, *APPROXIMATION theory, *SCIENTIFIC observation, *COMPARATIVE studies, *ALGORITHMS
Abstract

Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine-invariant features and a new recognition scheme called 'progressive removing' that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial algorithm without decreasing the recognition rate. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 180(2): 55-63, 2012; Published online in Wiley Online Library (). DOI 10.1002/eej.22276 [ABSTRACT FROM AUTHOR]

Published
2012
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727. Multiple-dataset traffic sign classification with OneCNN

Author

Fran Jurisic, Ivan Filkovic, Zoran Kalafatić, Kise, Koichi, Wang, Liang, Remagnino, Paolo, and Byun, Hyeran

Subjects
business.industry, Computer science, Feature extraction, machine learning, deep learning, convolutional neural networks, classification, Traffic sign classification, computer.software_genre, Machine learning, Object (computer science), Domain (software engineering), Visualization, Data mining, Artificial intelligence, State (computer science), business, computer, Dropout (neural networks)
Abstract

We take a look at current state of traffic sign classification discussing what makes it a specific problem of visual object classification. With impressive state-of-the- art results it is easy to forget that the domain extends beyond annotated datasets and overlook the problems that must be faced before we can start training classifiers. We discuss such problems, give an overview of previous work done, go over publicly available datasets and present a new one. Following that, classification experiments are conducted using a single CNN model, deeper than used previously and trained with dropout. We apply it over multiple datasets from Germany, Belgium and Croatia, their intersections and union, outperforming humans and other single CNN architectures for traffic sign classification.

Published
2015

728. CT image-based 3D inflorescence estimation of Chrysanthemum seticuspe .

Author

Matsumoto S, Utsumi Y, Kozuka T, Iwamura M, Nakai T, Yamauchi D, Karahara I, Mineyuki Y, Hoshino M, Uesugi K, and Kise K

Abstract

To study plant organs, it is necessary to investigate the three-dimensional (3D) structures of plants. In recent years, non-destructive measurements through computed tomography (CT) have been used to understand the 3D structures of plants. In this study, we use the Chrysanthemum seticuspe capitulum inflorescence as an example and focus on contact points between the receptacles and florets within the 3D capitulum inflorescence bud structure to investigate the 3D arrangement of the florets on the receptacle. To determine the 3D order of the contact points, we constructed slice images from the CT volume data and detected the receptacles and florets in the image. However, because each CT sample comprises hundreds of slice images to be processed and each C. seticuspe capitulum inflorescence comprises several florets, manually detecting the receptacles and florets is labor-intensive. Therefore, we propose an automatic contact point detection method based on CT slice images using image recognition techniques. The proposed method improves the accuracy of contact point detection using prior knowledge that contact points exist only around the receptacle. In addition, the integration of the detection results enables the estimation of the 3D position of the contact points. According to the experimental results, we confirmed that the proposed method can detect contacts on slice images with high accuracy and estimate their 3D positions through clustering. Additionally, the sample-independent experiments showed that the proposed method achieved the same detection accuracy as sample-dependent experiments., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Matsumoto, Utsumi, Kozuka, Iwamura, Nakai, Yamauchi, Karahara, Mineyuki, Hoshino, Uesugi and Kise.)

Published
2024
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729. Petal segmentation in CT images based on divide-and-conquer strategy.

Author

Naka Y, Utsumi Y, Iwamura M, Tsukaya H, and Kise K

Abstract

Manual segmentation of the petals of flower computed tomography (CT) images is time-consuming and labor-intensive because the flower has many petals. In this study, we aim to obtain a three-dimensional (3D) structure of Camellia japonica flowers and propose a petal segmentation method using computer vision techniques. Petal segmentation on the slice images fails by simply applying the segmentation methods because the shape of the petals in CT images differs from that of the objects targeted by the latest instance segmentation methods. To overcome these challenges, we crop two-dimensional (2D) long rectangles from each slice image and apply the segmentation method to segment the petals on the images. Thanks to cropping, it is easier to segment the shape of the petals in the cropped images using the segmentation methods. We can also use the latest segmentation method for the task because the number of images used for training is augmented by cropping. Subsequently, the results are integrated into 3D to obtain 3D segmentation volume data. The experimental results show that the proposed method can segment petals on slice images with higher accuracy than the method without cropping. The 3D segmentation results were also obtained and visualized successfully., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Naka, Utsumi, Iwamura, Tsukaya and Kise.)

Published
2024
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730. Image recognition-based petal arrangement estimation.

Author

Nakatani T, Utsumi Y, Fujimoto K, Iwamura M, and Kise K

Abstract

Flowers exhibit morphological diversity in the number and positional arrangement of their floral organs, such as petals. The petal arrangements of blooming flowers are represented by the overlap position relation between neighboring petals, an indicator of the floral developmental process; however, only specialists are capable of the petal arrangement identification. Therefore, we propose a method to support the estimation of the arrangement of the perianth organs, including petals and tepals, using image recognition techniques. The problem for realizing the method is that it is not possible to prepare a large number of image datasets: we cannot apply the latest machine learning based image processing methods, which require a large number of images. Therefore, we describe the tepal arrangement as a sequence of interior-exterior patterns of tepal overlap in the image, and estimate the tepal arrangement by matching the pattern with the known patterns. We also use methods that require less or no training data to implement the method: the fine-tuned YOLO v5 model for flower detection, GrubCut for flower segmentation, the Harris corner detector for tepal overlap detection, MAML-based interior-exterior estimation, and circular permutation matching for tepal arrangement estimation. Experimental results showed good accuracy when flower detection, segmentation, overlap location estimation, interior-exterior estimation, and circle permutation matching-based tepal arrangement estimation were evaluated independently. However, the accuracy decreased when they were integrated. Therefore, we developed a user interface for manual correction of the position of overlap estimation and interior-exterior pattern estimation, which ensures the quality of tepal arrangement estimation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Nakatani, Utsumi, Fujimoto, Iwamura and Kise.)

Published
2024
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731. ViTSTR-Transducer: Cross-Attention-Free Vision Transformer Transducer for Scene Text Recognition.

Author

Buoy R, Iwamura M, Srun S, and Kise K

Abstract

Attention-based encoder-decoder scene text recognition (STR) architectures have been proven effective in recognizing text in the real world, thanks to their ability to learn an internal language model. Nevertheless, the cross-attention operation that is used to align visual and linguistic features during decoding is computationally expensive, especially in low-resource environments. To address this bottleneck, we propose a cross-attention-free STR framework that still learns a language model. The framework we propose is ViTSTR-Transducer, which draws inspiration from ViTSTR, a vision transformer (ViT)-based method designed for STR and the recurrent neural network transducer (RNN-T) initially introduced for speech recognition. The experimental results show that our ViTSTR-Transducer models outperform the baseline attention-based models in terms of the required decoding floating point operations (FLOPs) and latency while achieving a comparable level of recognition accuracy. Compared with the baseline context-free ViTSTR models, our proposed models achieve superior recognition accuracy. Furthermore, compared with the recent state-of-the-art (SOTA) methods, our proposed models deliver competitive results.

Published
2023
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732. Explainable Connectionist-Temporal-Classification-Based Scene Text Recognition.

Author

Buoy R, Iwamura M, Srun S, and Kise K

Abstract

Connectionist temporal classification (CTC) is a favored decoder in scene text recognition (STR) for its simplicity and efficiency. However, most CTC-based methods utilize one-dimensional (1D) vector sequences, usually derived from a recurrent neural network (RNN) encoder. This results in the absence of explainable 2D spatial relationship between the predicted characters and corresponding image regions, essential for model explainability. On the other hand, 2D attention-based methods enhance recognition accuracy and offer character location information via cross-attention mechanisms, linking predictions to image regions. However, these methods are more computationally intensive, compared with the 1D CTC-based methods. To achieve both low latency and model explainability via character localization using a 1D CTC decoder, we propose a marginalization-based method that processes 2D feature maps and predicts a sequence of 2D joint probability distributions over the height and class dimensions. Based on the proposed method, we newly introduce an association map that aids in character localization and model prediction explanation. This map parallels the role of a cross-attention map, as seen in computationally-intensive attention-based architectures. With the proposed method, we consider a ViT-CTC STR architecture that uses a 1D CTC decoder and a pretrained vision Transformer (ViT) as a 2D feature extractor. Our ViT-CTC models were trained on synthetic data and fine-tuned on real labeled sets. These models outperform the recent state-of-the-art (SOTA) CTC-based methods on benchmarks in terms of recognition accuracy. Compared with the baseline Transformer-decoder-based models, our ViT-CTC models offer a speed boost up to 12 times regardless of the backbone, with a maximum 3.1% reduction in total word recognition accuracy. In addition, both qualitative and quantitative assessments of character locations estimated from the association map align closely with those from the cross-attention map and ground-truth character-level bounding boxes.

Published
2023
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733. Tiller estimation method using deep neural networks.

Author

Kinose R, Utsumi Y, Iwamura M, and Kise K

Abstract

This paper describes a method based on a deep neural network (DNN) for estimating the number of tillers on a plant. A tiller is a branch on a grass plant, and the number of tillers is one of the most important determinants of yield. Traditionally, the tiller number is usually counted by hand, and so an automated approach is necessary for high-throughput phenotyping. Conventional methods use heuristic features to estimate the tiller number. Based on the successful application of DNNs in the field of computer vision, the use of DNN-based features instead of heuristic features is expected to improve the estimation accuracy. However, as DNNs generally require large volumes of data for training, it is difficult to apply them to estimation problems for which large training datasets are unavailable. In this paper, we use two strategies to overcome the problem of insufficient training data: the use of a pretrained DNN model and the use of pretext tasks for learning the feature representation. We extract features using the resulting DNNs and estimate the tiller numbers through a regression technique. We conducted experiments using side-view whole plant images taken with plan backgroud. The experimental results show that the proposed methods using a pretrained model and specific pretext tasks achieve better performance than the conventional method., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Kinose, Utsumi, Iwamura and Kise.)

Published
2023
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734. TAIM: Tool for Analyzing Root Images to Calculate the Infection Rate of Arbuscular Mycorrhizal Fungi.

Author

Muta K, Takata S, Utsumi Y, Matsumura A, Iwamura M, and Kise K

Abstract

Arbuscular mycorrhizal fungi (AMF) infect plant roots and are hypothesized to improve plant growth. Recently, AMF is now available for axenic culture. Therefore, AMF is expected to be used as a microbial fertilizer. To evaluate the usefulness of AMF as a microbial fertilizer, we need to investigate the relationship between the degree of root colonization of AMF and plant growth. The method popularly used for calculation of the degree of root colonization, termed the magnified intersections method, is performed manually and is too labor-intensive to enable an extensive survey to be undertaken. Therefore, we automated the magnified intersections method by developing an application named "Tool for Analyzing root images to calculate the Infection rate of arbuscular Mycorrhizal fungi: TAIM." TAIM is a web-based application that calculates the degree of AMF colonization from images using automated computer vision and pattern recognition techniques. Experimental results showed that TAIM correctly detected sampling areas for calculation of the degree of infection and classified the sampling areas with 87.4% accuracy. TAIM is publicly accessible at http://taim.imlab.jp/., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Muta, Takata, Utsumi, Matsumura, Iwamura and Kise.)

Published
2022
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735. Focusing on the face or getting distracted by social signals? The effect of distracting gestures on attentional focus in natural interaction.

Author

Kajopoulos J, Cheng G, Kise K, Müller HJ, and Wykowska A

Subjects
Adult, Female, Fixation, Ocular physiology, Humans, Male, Photic Stimulation methods, Young Adult, Attention physiology, Cues, Face, Gestures, Orientation, Spatial physiology
Abstract

Attentional orienting towards others' gaze direction or pointing has been well investigated in laboratory conditions. However, less is known about the operation of attentional mechanisms in online naturalistic social interaction scenarios. It is equally plausible that following social directional cues (gaze, pointing) occurs reflexively, and/or that it is influenced by top-down cognitive factors. In a mobile eye-tracking experiment, we show that under natural interaction conditions, overt attentional orienting is not necessarily reflexively triggered by pointing gestures or a combination of gaze shifts and pointing gestures. We found that participants conversing with an experimenter, who, during the interaction, would play out pointing gestures as well as directional gaze movements, continued to mostly focus their gaze on the face of the experimenter, demonstrating the significance of attending to the face of the interaction partner-in line with effective top-down control over reflexive orienting of attention in the direction of social cues.

Published
2021
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