MAD Loss in Pattern Recognition and RBF Learning
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Pattern recognition with linearly structured labels using recursive kernel estimator
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Pattern recognition algorithms based on space-filling curves and orthogonal expansions
IEEE Transactions on Information Theory
Decision making in Markov chains applied to the problem of pattern recognition
IEEE Transactions on Information Theory
Asymptotically optimal pattern recognition procedures with density estimates (Corresp.)
IEEE Transactions on Information Theory
Context-dependent neural nets-structures and learning
IEEE Transactions on Neural Networks
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Our aim is to propose a new look at the dimensionality reduction in pattern recognition problems by extracting part of variables that are further called external context variables. We show how to incorporate them into the Bayes classification scheme with loss functions that depend on class labels that are ordered. Then, the general form of the optimal context sensitive classifier is derived and the learning method that is based on kernel approximation is proposed.