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NIPS
2001
13 years 9 months ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
TIT
2008
86views more  TIT 2008»
13 years 8 months ago
On the Minimum Entropy of a Mixture of Unimodal and Symmetric Distributions
Progressive encoding of a signal generally involves an estimation step, designed to reduce the entropy of the residual of an observation over the entropy of the observation itself....
Ting-Li Chen, Stuart Geman
FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
14 years 2 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua
BMCBI
2008
132views more  BMCBI 2008»
13 years 8 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
ICA
2004
Springer
14 years 1 months ago
An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
The paper deals with blind source separation of images. The model which is adopted here is a convolutive multi-dimensional one. Recent results about polynomial matrices in several ...
Marc Castella, Jean-Christophe Pesquet