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AAAI
2012
6 years 8 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
ICDE
2012
IEEE
233views Database» more  ICDE 2012»
6 years 8 months ago
Accuracy-Aware Uncertain Stream Databases
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Tingjian Ge, Fujun Liu
JMLR
2012
6 years 8 months ago
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
CORR
2012
Springer
184views Education» more  CORR 2012»
7 years 1 months ago
Noisy-OR Models with Latent Confounding
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoy...
CORR
2012
Springer
209views Education» more  CORR 2012»
7 years 1 months ago
Aggregation in Probabilistic Databases via Knowledge Compilation
This paper presents a query evaluation technique for positive relational algebra queries with aggregates on a representation system for probabilistic data based on the algebraic s...
Robert Fink, Larisa Han, Dan Olteanu
ICC
2011
IEEE
205views Communications» more  ICC 2011»
7 years 5 months ago
Decentralized Cross-Tier Interference Mitigation in Cognitive Femtocell Networks
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
Mehdi Bennis, Samir Medina Perlaza
AAAI
2011
7 years 6 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
AGI
2011
7 years 10 months ago
Three Hypotheses about the Geometry of Mind
What set of concepts and formalizations might one use to make a practically useful, theoretically rigorous theory of generally intelligent systems? We present a novel perspective m...
Ben Goertzel, Matthew Iklé
ICDE
2011
IEEE
237views Database» more  ICDE 2011»
7 years 10 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
TSE
2010
120views more  TSE 2010»
8 years 28 days ago
Efficient Software Verification: Statistical Testing Using Automated Search
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are g...
Simon M. Poulding, John A. Clark
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