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» Variational Inference for Diffusion Processes
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ICML
2008
IEEE
14 years 8 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
IJCAI
1993
13 years 8 months ago
Second Order Measures for Uncertainty Processing
Uncertainty processing methods are analysed from the viewpoint of their sensitivity to small variations of certainty factors. The analysis makes use of the algebraic theory which ...
Zdenek Zdráhal
PR
2006
112views more  PR 2006»
13 years 7 months ago
Understanding gestures with systematic variations in movement dynamics
Sign language communication includes not only lexical sign gestures but also grammatical processes which represent inflections through systematic variations in sign appearance. We...
Sylvie C. W. Ong, Surendra Ranganath, Yedatore Ven...
AVSS
2003
IEEE
14 years 20 days ago
Invariant Feature Extraction and Biased Statistical Inference for Video Surveillance
Using cameras for detecting hazardous or suspicious events has spurred new research for security concerns. To make such detection reliable, researchers must overcome difficulties...
Yi-Leh Wu, Long Jiao, Gang Wu, Edward Y. Chang, Yu...
ISBI
2009
IEEE
14 years 2 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin