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ICASSP
2011
IEEE
14 years 7 months ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
CVPR
2008
IEEE
16 years 6 months ago
Light-invariant fitting of active appearance models
This paper deals with shading and AAMs. Shading is created by lighting change. It can be of two types: selfshading and external shading. The effect of self-shading can be explicit...
Daniel Pizarro, Julien Peyras, Adrien Bartoli
ICML
2007
IEEE
16 years 4 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
DCC
2009
IEEE
16 years 4 months ago
Multi Level Multiple Descriptions
Multiple Description (MD) source coding is a method to overcome unexpected information loss in a diversity system such as the internet, or a wireless network. While classic MD cod...
Tal A. Beery, Ram Zamir
CVPR
2010
IEEE
16 years 14 days ago
Semi-supervised Hashing for Scalable Image Retrieval
Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several hashing methods have been proposed to allow approx...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang