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» The Inverse Classification Problem
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ICML
2008
IEEE
16 years 2 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
ICML
2003
IEEE
16 years 2 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
ICIAP
2009
ACM
16 years 2 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Music Emotion Classification: A Regression Approach
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambigu...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...
IAT
2003
IEEE
15 years 7 months ago
Multi-agent Technology for Distributed Data Mining and Classification
The core problem of multi-agent distributed data mining technology not concern particular data mining techniques although the latter is now paid the most attention. Its core probl...
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoil...