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UAI
2004
13 years 9 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 8 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
TSP
2008
74views more  TSP 2008»
13 years 7 months ago
Theoretical Performance Analysis of the W-ABORT Detector
In a recent paper we introduced a modification of the adaptive beamformer orthogonal rejection test (ABORT) for adaptive detection of signals in unknown noise, by supposing under t...
Francesco Bandiera, Olivier Besson, Danilo Orlando...
TIP
2002
126views more  TIP 2002»
13 years 7 months ago
A generic approach to simultaneous tracking and verification in video
In this paper, a generic approach to simultaneous tracking and verification in video data is presented. The approach is based on posterior density estimation using sequential Monte...
Baoxin Li, Rama Chellappa
JDCTA
2010
144views more  JDCTA 2010»
13 years 2 months ago
Research on SVDD Applied in Speaker Verification
In tradition probability statistics model, speaker verification threshold is instability in different test situations. A novel speaker verification method based on Support Vector ...
Yuhuan Zhou, Xiongwei Zhang, Jinming Wang, Yong Go...