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» Feature Selection for Support Vector Machines
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CIBCB
2005
IEEE
13 years 9 months ago
A Transcriptional Approach to Gene Clustering
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
Ilias Tagkopoulos
JCP
2008
157views more  JCP 2008»
13 years 7 months ago
A New Information Fusion Method for Bimodal Robotic Emotion Recognition
Emotion recognition has become a popular area in human-robot interaction research. Through recognizing facial expressions, a robot can interact with a person in a more friendly man...
Meng-Ju Han, Jing-Huai Hsu, Kai-Tai Song, Fuh-Yu C...
PAMI
2011
13 years 2 months ago
Revisiting Linear Discriminant Techniques in Gender Recognition
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
Juan Bekios-Calfa, José Miguel Buenaposada,...
TIFS
2010
137views more  TIFS 2010»
13 years 2 months ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
CGO
2008
IEEE
14 years 2 months ago
Compiling for vector-thread architectures
Vector-thread (VT) architectures exploit multiple forms of parallelism simultaneously. This paper describes a compiler for the Scale VT architecture, which takes advantage of the ...
Mark Hampton, Krste Asanovic