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CIVR
2010
Springer
187views Image Analysis» more  CIVR 2010»
14 years 4 months ago
Mixture model based contextual image retrieval
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...
Xing Xing, Yi Zhang, Bo Gong
CVPR
2009
IEEE
14 years 6 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
13 years 2 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 6 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 11 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....