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UAI
2004
15 years 7 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen
CVPR
2011
IEEE
15 years 2 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
NIPS
2008
15 years 7 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
CJ
2010
150views more  CJ 2010»
15 years 3 months ago
Program Analysis Probably Counts
Abstract. Semantics-based program analysis uses an abstract semantics of programs/systems to statically determine run-time properties. Classic examples from compiler technology inc...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
ICIP
2008
IEEE
16 years 8 months ago
A perceptual metric for blind measurement of blocking artifacts with applications in transform-block-based image and video codin
In this paper, we analyze the formation of blocking artifacts as a result of quantization of the discrete cosine transform (DCT) coefficients. These artifacts are known to be the ...
Koohyar Minoo, Truong Q. Nguyen