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» Relation Extraction Using Support Vector Machine
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FGR
2002
IEEE
155views Biometrics» more  FGR 2002»
15 years 8 months ago
Model-Based Face Tracking for View-Independent Facial Expression Recognition
Facial expression recognition is necessary for designing any realistic human-machine interfaces. Previous published facial expression recognition systems achieve good recognition ...
Salih Burak Göktürk, Carlo Tomasi, Bernd...
BMCBI
2010
114views more  BMCBI 2010»
15 years 3 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...
146
Voted
JCP
2008
167views more  JCP 2008»
15 years 3 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
126
Voted
ICMLA
2008
15 years 4 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
BMCBI
2010
208views more  BMCBI 2010»
15 years 3 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...