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» Complexity of Inference in Graphical Models
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PLDI
2012
ACM
11 years 11 months ago
Adaptive input-aware compilation for graphics engines
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
AAAI
2006
13 years 10 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 9 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
CVPR
2008
IEEE
14 years 3 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
JCB
2007
191views more  JCB 2007»
13 years 8 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan