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» Unsupervised Feature Selection Using Feature Similarity
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BMCBI
2008
95views more  BMCBI 2008»
13 years 11 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
ICPR
2004
IEEE
14 years 12 months ago
Multi Feature Path Modeling for Video Surveillance
This paper proposes a novel method for detecting nonconforming trajectories of objects as they pass through a scene. Existing methods mostly use spatial features to solve this pro...
Imran N. Junejo, Mubarak Shah, Omar Javed
IALP
2009
13 years 8 months ago
Dialog-Act Recognition Using Discourse and Sentence Structure Information
Automatic recognition of Dialog-act (DA) is one of the most important processes in understanding spontaneous dialog. Most existing studies have been working on how to use various ...
Keyan Zhou, Chengqing Zong
3DOR
2010
13 years 5 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
14 years 5 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee