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» On Bayesian model and variable selection using MCMC
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3DPVT
2006
IEEE
175views Visualization» more  3DPVT 2006»
15 years 3 months ago
On 3D Retrieval from Photos
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
72
Voted
CORR
2007
Springer
82views Education» more  CORR 2007»
14 years 9 months ago
Sorting and Selection with Random Costs
There is a growing body of work on sorting and selection in models other than the unit-cost comparison model. This work treats a natural stochastic variant of the problem where the...
Stanislav Angelov, Keshav Kunal, Andrew McGregor
COLT
2008
Springer
14 years 11 months ago
Combining Expert Advice Efficiently
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
Wouter M. Koolen, Steven de Rooij
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 5 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
ICCV
2007
IEEE
15 years 11 months ago
Fast Pixel/Part Selection with Sparse Eigenvectors
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
Bernard Moghaddam, Yair Weiss, Shai Avidan