Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011
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Published By Springer Berlin Heidelberg

9783642217371, 9783642217388

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An Information Geometrical View of Stationary Subspace Analysis

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_51 ◽

2011 ◽

pp. 397-404 ◽

Cited By ~ 8

Author(s):

Motoaki Kawanabe ◽

Wojciech Samek ◽

Paul von Bünau ◽

Frank C. Meinecke

Keyword(s):

Subspace Analysis

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Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_35 ◽

2011 ◽

pp. 269-276 ◽

Cited By ~ 2

Author(s):

Yasuomi D. Sato ◽

Kazuki Nakada ◽

Kiyotoshi Matsuoka

Keyword(s):

Singular Perturbation ◽

Perturbation Approach

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Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_31 ◽

2011 ◽

pp. 237-244 ◽

Cited By ~ 3

Author(s):

Takashi Mitsuishi ◽

Yasunari Shidama

Keyword(s):

Optimal Control ◽

Fuzzy Reasoning ◽

Functional Type

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Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_2 ◽

2011 ◽

pp. 9-16 ◽

Cited By ~ 4

Author(s):

Nicolas Heess ◽

Nicolas Le Roux ◽

John Winn

Keyword(s):

Supervised Learning ◽

Weakly Supervised Learning ◽

Background Segmentation ◽

Weakly Supervised

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A Framework for Application-Oriented Design of Large-Scale Neural Networks

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_41 ◽

2011 ◽

pp. 317-324

Author(s):

David Bouchain ◽

Florian Hauser ◽

Günther Palm

Keyword(s):

Neural Networks ◽

Large Scale

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Weighted Mutual Information for Feature Selection

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_24 ◽

2011 ◽

pp. 181-188 ◽

Cited By ~ 12

Author(s):

Erik Schaffernicht ◽

Horst-Michael Gross

Keyword(s):

Feature Selection ◽

Mutual Information

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Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_11 ◽

2011 ◽

pp. 79-86 ◽

Cited By ~ 1

Author(s):

Dimitrios Bouzas ◽

Nikolaos Arvanitopoulos ◽

Anastasios Tefas

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Linear Discriminant ◽

Error Correcting Output Codes

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A Perceptual Memory System for Affordance Learning in Humanoid Robots

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_45 ◽

2011 ◽

pp. 349-356 ◽

Cited By ~ 1

Author(s):

Marc Kammer ◽

Marko Tscherepanow ◽

Thomas Schack ◽

Yukie Nagai

Keyword(s):

Humanoid Robots ◽

Memory System ◽

Perceptual Memory

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Image Receptive Fields Neural Networks for Object Recognition

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_13 ◽

2011 ◽

pp. 95-102 ◽

Cited By ~ 2

Author(s):

Paméla Daum ◽

Jean-Luc Buessler ◽

Jean-Philippe Urban

Keyword(s):

Neural Networks ◽

Object Recognition ◽

Receptive Fields

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Bias of Importance Measures for Multi-valued Attributes and Solutions

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21738-8_38 ◽

2011 ◽

pp. 293-300 ◽

Cited By ~ 28

Author(s):

Houtao Deng ◽

George Runger ◽

Eugene Tuv

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Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

An Information Geometrical View of Stationary Subspace Analysis

Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena

Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method

Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs

A Framework for Application-Oriented Design of Large-Scale Neural Networks

Weighted Mutual Information for Feature Selection

Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization

A Perceptual Memory System for Affordance Learning in Humanoid Robots

Image Receptive Fields Neural Networks for Object Recognition

Bias of Importance Measures for Multi-valued Attributes and Solutions

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011
Latest Publications