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» Optimal feature selection for support vector machines
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ACL
2010
13 years 7 months ago
Decision Detection Using Hierarchical Graphical Models
We investigate hierarchical graphical models (HGMs) for automatically detecting decisions in multi-party discussions. Several types of dialogue act (DA) are distinguished on the b...
Trung H. Bui, Stanley Peters
ICMCS
2006
IEEE
198views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Face Segmentation under Unconstrained Scenes
In this paper, an efficient approach by combining the novel wavelet-based feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering is prese...
Jing-Wein Wang
CSB
2003
IEEE
14 years 2 months ago
An SVM-based Algorithm for Identification of Photosynthesis-specific Genome Features
This paper presents a novel algorithm for identification and functional characterization of “key” genome features responsible for a particular biochemical process of interest....
Gong-Xin Yu, George Ostrouchov, Al Geist, Nagiza F...
SCFBM
2008
151views more  SCFBM 2008»
13 years 8 months ago
Wndchrm - an open source utility for biological image analysis
Background: Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated experimentin...
Lior Shamir, Nikita Orlov, D. Mark Eckley, Tomasz ...
CSL
2010
Springer
13 years 7 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim