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AVSS
2006
IEEE
15 years 1 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
CVPR
2011
IEEE
14 years 4 months ago
A Global Sampling Method for Alpha Matting
Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforwar...
Kaiming He, Christoph Rhemann, Carsten Rother, Xia...
JRTIP
2008
118views more  JRTIP 2008»
14 years 9 months ago
A fast feature-assisted adaptive early termination approach for multiple reference frames motion estimation in H.264
Abstract The multiple reference frames motion estimation approach used in H.264 is computationally intensive. This paper presents a fast or computationally efficient feature-assist...
Jianfeng Ren, Nasser D. Kehtarnavaz, Madhukar Buda...
BMCBI
2010
138views more  BMCBI 2010»
14 years 9 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
BMCBI
2010
164views more  BMCBI 2010»
14 years 9 months ago
Investigating the validity of current network analysis on static conglomerate networks by protein network stratification
Background: A molecular network perspective forms the foundation of systems biology. A common practice in analyzing protein-protein interaction (PPI) networks is to perform networ...
Minlu Zhang, Long J. Lu