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DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 11 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
ICANN
2005
Springer
14 years 3 months ago
Discriminant Parallel Perceptrons
Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient an...
Ana M. González, Iván Cantador, Jos&...
ICDAR
2005
IEEE
14 years 3 months ago
MS-TDNN with Global Discriminant Trainings
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Émilie Caillault, Christian Viard-Gaudin, A...
ICPR
2002
IEEE
14 years 11 months ago
Separating Color and Pattern Information for Color Texture Discrimination
The analysis of colored surface textures is a challenging research problem in computer vision. Current approaches to this task can be roughly divided into two categories: methods ...
Topi Mäenpää, Matti Pietikäine...
ECCV
2008
Springer
13 years 11 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang