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46 results on '"Borah, Bhogeswar"'

5. Three-Dimensional (3D) Polygon Mesh Authentication Using Sequential Bit Substitution Strategy

Author

Borah, Sagarika, Borah, Bhogeswar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Behera, Himansu Sekhar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, and Pelusi, Danilo, editor

Published
2020
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8. An Approach of Transferring Pre-trained Deep Convolutional Neural Networks for Aerial Scene Classification

Author

Devi, Nilakshi, Borah, Bhogeswar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Deka, Bhabesh, editor, Maji, Pradipta, editor, Mitra, Sushmita, editor, Bhattacharyya, Dhruba Kumar, editor, Bora, Prabin Kumar, editor, and Pal, Sankar Kumar, editor

Published
2019
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12. A Method for Semantic Relatedness Based Query Focused Text Summarization

Author

Rahman, Nazreena, Borah, Bhogeswar, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shankar, B. Uma, editor, Ghosh, Kuntal, editor, Mandal, Deba Prasad, editor, Ray, Shubhra Sankar, editor, Zhang, David, editor, and Pal, Sankar K., editor

Published
2017
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13. Context Sensitive Query Correction Method for Query-Based Text Summarization

Author

Rahman, Nazreena, Borah, Bhogeswar, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Borruso, Giuseppe, editor, Torre, Carmelo M., editor, Rocha, Ana Maria A.C., editor, Taniar, David, editor, Apduhan, Bernady O., editor, Stankova, Elena, editor, and Cuzzocrea, Alfredo, editor

Published
2017
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22. Image Retrieval by Content Using Segmentation Approach

Author

Borah, Bhogeswar, Bhattacharyya, Dhruba K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pal, Sankar K., editor, Bandyopadhyay, Sanghamitra, editor, and Biswas, Sambhunath, editor

Published
2005
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28. A novel mutual information-based feature selection approach forefficient transfer learning in aerial scene classification.

Author

Devi, Nilakshi and Borah, Bhogeswar

Subjects
*FEATURE selection, *TRANSFER of training, *CONVOLUTIONAL neural networks, *FEATURE extraction, *INFORMATION theory
Abstract

Several transfer learning methods based on deep Convolutional Neural Networks (CNNs) have been developed so far but obtaining satisfactory classification accuracy still remains a challenging task. However, effective classification performance mainly depends on the feature set of input data to be classified. During transfer learning, features are extracted from multiple layers or multiple models of pre-trained convolutional neural networks to form feature sets of input data, which may contain some redundant features thus affecting the classification results. To tackle this issue, a feature selection method must be applied to transfer features before being fed to the classifier. Hence, a feature selection method is proposed using the idea of mutual information theory to remove redundant features for effective transfer of the learning task. The proposed feature selection method is the combination of filter and embedded approaches that are cascaded one after another to form the final feature set for classification. The proposed method proves its effectiveness when compared to some existing methods on three aerial scene datasets. [ABSTRACT FROM AUTHOR]

Published
2022
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35. Improvement of query-based text summarization using word sense disambiguation.

Author

Rahman, Nazreena and Borah, Bhogeswar

Subjects
COMMON sense, VOCABULARY
Abstract

In this paper, a query-based text summarization method is proposed based on common sense knowledge and word sense disambiguation. Common sense knowledge is integrated here by expanding the query terms. It helps in extracting main sentences from text document according to the query. Query-based text summarization finds semantic relatedness score between query and input text document for extracting sentences. The drawback with current methods is that while finding semantic relatedness between input text and query, in general they do not consider the sense of the words present in the input text sentences and the query. However, this particular method can enhance the summary quality as it finds the correct sense of each word of a sentence with respect to the context of the sentence. The correct sense for each word is being used while finding semantic relatedness between input text and query. To remove similar sentences from summary, similarity measure is computed among the selected sentences. Experimental result shows better performance than many baseline systems. [ABSTRACT FROM AUTHOR]

Published
2020
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46. Image Retrieval by Content Using Segmentation Approach.

Author

Pal, Sankar K., Bandyopadhyay, Sanghamitra, Biswas, Sambhunath, Borah, Bhogeswar, and Bhattacharyya, Dhruba K.

Abstract

This paper presents an efficient image retrieval technique based on content using segmentation approach and by considering global distribution of color. To cope with significant appearance changes, the method uses a global size and shape histogram to represent the image regions obtained after segmenting the image based on color similarity. The indexing technique can be found to be significant in comparison to its other counterparts, such as moment based method [12], due to its transformation invariance and effective retrieval performance over several application domains. [ABSTRACT FROM AUTHOR]

Published
2005
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