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» Background Subtraction Based on a Robust Consensus Method
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BMCBI
2005
112views more  BMCBI 2005»
13 years 8 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
MVA
2007
128views Computer Vision» more  MVA 2007»
13 years 10 months ago
Illumination-robust Change Detection Using Texture Based Features
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Pe...
Kentaro Yokoi
CVPR
2004
IEEE
14 years 10 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
ICCV
2003
IEEE
14 years 10 months ago
Learning Pedestrian Models for Silhouette Refinement
We present a model-based method for accurate extraction of pedestrian silhouettes from video sequences. Our approach is based on two assumptions, 1) there is a common appearance t...
L. Lee, Gerald Dalley, Kinh Tieu
BMCBI
2004
133views more  BMCBI 2004»
13 years 8 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy