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CVPR
2009
IEEE
14 years 2 months ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...
ICASSP
2011
IEEE
12 years 11 months ago
Video thumbnail extraction using video time density function and independent component analysis mixture model
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
Junfeng Jiang, Xiao-Ping Zhang
ISBI
2009
IEEE
14 years 2 months ago
Image-Driven Population Analysis Through Mixture Modeling
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
Mert R. Sabuncu
BMCBI
2008
107views more  BMCBI 2008»
13 years 8 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
Background: Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is gen...
Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee...