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» Extracting Important Sentences with Support Vector Machines
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DAS
2006
Springer
13 years 11 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
ICPR
2010
IEEE
13 years 7 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
BMCBI
2010
114views more  BMCBI 2010»
13 years 7 months ago
Detection of gene orthology from gene co-expression and protein interaction networks
Background: Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our und...
Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Ol...
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
PR
2008
119views more  PR 2008»
13 years 7 months ago
Binary-image comparison with local-dissimilarity quantification
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images h...
Etienne Baudrier, Frédéric Nicolier,...