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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 5 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
PAMI
2006
178views more  PAMI 2006»
15 years 5 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
IJCNN
2007
IEEE
16 years 7 days ago
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning
— High-order human cognition involves processing of abstract and categorically represented knowledge. Traditionally, it has been considered that there is a single innate internal...
Toshihiko Matsuka, Yasuaki Sakamoto
ACSC
2004
IEEE
15 years 9 months ago
Learning Models for English Speech Recognition
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...
JIKM
2006
167views more  JIKM 2006»
15 years 5 months ago
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
Sang-Jun Han, Sung-Bae Cho