A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Application of multi-weighted neuron for iris recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Face recognition using topological manifolds learning
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Channel equalization based on two weights neural network
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Continuous speech research based on hypersausage neuron
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Continuous speech recognition based on ICA and geometrical learning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Similarity index for clustering DNA microarray data based on multi-weighted neuron
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Iris recognition algorithm based on point covering of high-dimensional space and neural network
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Digits speech recognition based on geometrical learning
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
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A new model of pattern recognition principles--Biomimetic Pattern Recognition, which is based on "matter cognition" instead of "matter classification", has been proposed. As a important means realizing Biomimetic Pattern Recognition, the mathematical model and analyzing method of ANN get breakthrough: a novel all-purpose mathematical model has been advanced, which can simulate all kinds of neuron architecture, including RBF and BP models. As the same time this model has been realized using hardware; the high-dimension space geometry method, a new means to analyzing ANN, has been researched.