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ICCV
2009
IEEE
15 years 20 days ago
Heterogeneous Feature Machines for Visual Recognition
With the recent efforts made by computer vision researchers, more and more types of features have been designed to describe various aspects of visual characteristics. Modeling s...
Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. H...
ICNC
2005
Springer
14 years 1 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 7 months ago
Virtual screening with support vector machines and structure kernels
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Pierre Mahé, Jean-Philippe Vert
CHI
2002
ACM
14 years 8 months ago
Informing automatic generation of remote control interfaces with human designs
Embedded processors are making it possible for common appliances, such as cable boxes, microwaves and fax machines, to provide even more functionality. Unfortunately, as these app...
Jeffrey Nichols