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» Smoothing-based Optimization
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PAMI
2008
198views more  PAMI 2008»
13 years 6 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
ECML
2003
Springer
13 years 11 months ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems â€...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
PE
2006
Springer
127views Optimization» more  PE 2006»
13 years 6 months ago
Design and analysis of a class-aware recursive loop scheduler for class-based scheduling
In this paper, we consider the problem of devising a loop scheduler that allocates slots to users according to their relative weights as smoothly as possible. Instead of the exist...
Raphael Rom, Moshe Sidi, Hwee Pink Tan
ICML
2010
IEEE
13 years 7 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
TOG
2008
178views more  TOG 2008»
13 years 6 months ago
Edge-preserving decompositions for multi-scale tone and detail manipulation
Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer...
Zeev Farbman, Raanan Fattal, Dani Lischinski, Rich...