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» Support Vector Machines: Theory and Applications
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KAIS
2006
111views more  KAIS 2006»
14 years 11 months ago
Real-time classification of variable length multi-attribute motions
Multi-attribute motion data can be generated in many applications/ devices, such as motion capture devices and animations. It can have dozens of attributes, thousands of rows, and ...
Chuanjun Li, Latifur Khan, Balakrishnan Prabhakara...
NN
2007
Springer
106views Neural Networks» more  NN 2007»
14 years 11 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
ICMLA
2007
15 years 1 months ago
SVMotif: A Machine Learning Motif Algorithm
We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
IBPRIA
2005
Springer
15 years 5 months ago
An Approach to Vision-Based Person Detection in Robotic Applications
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...
Carlos D. Castillo, Carolina Chang
ICPR
2006
IEEE
16 years 28 days ago
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In ...
Yi-Hsiang Chao, Wei-Ho Tsai, Hsin-Min Wang, Ruei-C...