Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
AAAI
2012
8 years 3 months ago
Exact Lifted Inference with Distinct Soft Evidence on Every Object
The presence of non-symmetric evidence has been a barrier for the application of lifted inference since the evidence destroys the symmetry of the first-order probabilistic model....
Hung B. Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz
AAAI
2012
8 years 3 months ago
A Tractable First-Order Probabilistic Logic
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
Pedro Domingos, William Austin Webb
CVPR
2012
IEEE
8 years 7 months ago
Branch-and-price global optimization for multi-view multi-object tracking
We present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past, we tackle the problem as a single...
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
CORR
2012
Springer
163views Education» more  CORR 2012»
8 years 9 months ago
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Michael P. Wellman, Lu Hong, Scott E. Page
ICDAR
2011
IEEE
9 years 26 days ago
Evaluating the Rarity of Handwriting Formations
—Identifying unusual or unique characteristics of an observed sample in useful in forensics in general and handwriting analysis in particular. Rarity is formulated as the probabi...
Sargur N. Srihari
ICASSP
2011
IEEE
9 years 5 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
TSP
2010
9 years 8 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
TSP
2010
9 years 8 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
JMLR
2010
169views more  JMLR 2010»
9 years 8 months ago
Focused Belief Propagation for Query-Specific Inference
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
Anton Chechetka, Carlos Guestrin
JMLR
2010
179views more  JMLR 2010»
9 years 8 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
books