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» Maximum Likelihood Face Detection
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ICIP
2004
IEEE
14 years 11 months ago
A set theoretic approach to target detection using spectral signature statistics
Pixels in hyperspectral images usually contain spectra from several classifiable objects, so that the recorded pixel is a mixture of the classes. Current methods estimate the prop...
David M. Rouse, H. Joel Trussell
ICCV
2005
IEEE
14 years 11 months ago
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Kui Jia, Shaogang Gong
CVPR
2004
IEEE
14 years 1 months ago
Face Localization via Hierarchical CONDENSATION with Fisher Boosting Feature Selection
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
Jilin Tu, ZhenQiu Zhang, Zhihong Zeng, Thomas S. H...
ICPR
2002
IEEE
14 years 11 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
RECOMB
2008
Springer
14 years 10 months ago
Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
Jotun Hein, Rune B. Lyngsø, Yun S. Song