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» An Object Model for Multiprogramming
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209
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
14 years 2 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
232
Voted
JMLR
2012
13 years 9 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
TOG
2012
267views Communications» more  TOG 2012»
13 years 9 months ago
Global parametrization by incremental flattening
Global parametrization of surfaces requires singularities (cones) to keep distortion minimal. We describe a method for finding cone locations and angles and an algorithm for glob...
Ashish Myles, Denis Zorin
204
Voted
SODA
2012
ACM
173views Algorithms» more  SODA 2012»
13 years 9 months ago
Resource augmentation for weighted flow-time explained by dual fitting
We propose a general dual-fitting technique for analyzing online scheduling algorithms in the unrelated machines setting where the objective function involves weighted flow-time...
S. Anand 0002, Naveen Garg, Amit Kumar
236
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
17 years 1 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
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