210 results on '"Kanade, Takeo"'
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2. Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks
3. Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic
4. Adaptive Affine Subspace Self-organizing Map with Kernel Method
5. Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability
6. Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks
7. Face Recognition Using Weighted Modular Principle Component Analysis
8. A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN
9. In-vehicle Noise and Enhanced Speech Intelligibility
10. Face Recognition Using SVM Combined with CNN for Face Detection
11. An Evolving Neural Network Model for Person Verification Combining Speech and Image
12. Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control
13. A Connectionist Account of Ontological Boundary Shifting
14. Fusion of Dimension Reduction Methods and Application to Face Recognition
15. Signature Verification Using Static and Dynamic Features
16. A Fast and Efficient Face Detection Technique Using Support Vector Machine
17. User Enrollment Using Multiple Snapshots of Fingerprint
18. The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment
19. Cognitive Process of Emotion Under Uncertainty
20. Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilinguals: Event-Related fMRI Study
21. Chunking Phenomenon in Complex Sequential Skill Learning in Humans
22. A Neural Network Model for Trace Conditioning
23. The Locus of Word Length and Frequency Effect in Comprehending English Words by Korean-English Bilinguals and Americans
24. State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks
25. Evaluation of Comprehensive Learning Particle Swarm Optimizer
26. Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning
27. Evolutionary Learning Program’s Behavior in Neural Networks for Anomaly Detection
28. Asymptotic Stability of Nonautonomous Delayed Neural Networks
29. A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay
30. Gray and Binary Encoding in the (1+1)-EA
31. Representation and Identification of Finite State Automata by Recurrent Neural Networks
32. Closest Substring Problem – Results from an Evolutionary Algorithm
33. A Partheno-genetic Algorithm for Combinatorial Optimization
34. Multiobjective Genetic Search for Spanning Tree Problem
35. Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems
36. Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions
37. The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution
38. Data Association for Multiple Target Tracking: An Optimization Approach
39. An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction
40. Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic
41. Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network
42. Using SOM-Based Data Binning to Support Supervised Variable Selection
43. An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density
44. Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick
45. Using Self-organizing Map in a Computerized Decision Support System
46. Protein Metal Binding Residue Prediction Based on Neural Networks
47. Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective
48. Assessment of Reliability of Microarray Data Using Fuzzy C-Means Classification
49. Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
50. DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors
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