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ICASSP
2011
IEEE
13 years 17 days 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, ...
ICC
2007
IEEE
120views Communications» more  ICC 2007»
14 years 3 months ago
On the Tails of the Distribution of the Sum of Lognormals
—Finding the distribution of the sum of lognormal We assume in this paper that the terms Yi are independent. The random variables is an important mathematical problem in probabil...
Sebastien S. Szyszkowicz, Halim Yanikomeroglu
NIPS
2003
13 years 10 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
AAAI
2011
12 years 8 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting
SBACPAD
2007
IEEE
128views Hardware» more  SBACPAD 2007»
14 years 3 months ago
Node Level Primitives for Parallel Exact Inference
We present node level primitives for parallel exact inference on an arbitrary Bayesian network. We explore the probability representation on each node of Bayesian networks and eac...
Yinglong Xia, Viktor K. Prasanna