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» Data selection for support vector machine classifiers
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FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
15 years 4 months ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
ICMCS
2006
IEEE
198views Multimedia» more  ICMCS 2006»
15 years 4 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
ACL
2004
14 years 11 months ago
Dependency Tree Kernels for Relation Extraction
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and clas...
Aron Culotta, Jeffrey S. Sorensen
ACL
2010
14 years 8 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
DAS
2010
Springer
15 years 1 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt