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ACCV
2006
Springer
14 years 1 months ago
Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering
In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the ...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 7 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
JMLR
2006
190views more  JMLR 2006»
13 years 7 months ago
Causal Graph Based Decomposition of Factored MDPs
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
Anders Jonsson, Andrew G. Barto
ECCV
2008
Springer
14 years 9 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
CORR
2010
Springer
65views Education» more  CORR 2010»
13 years 7 months ago
Fishing in Poisson streams: focusing on the whales, ignoring the minnows
This paper describes a low-complexity approach for reconstructing average packet arrival rates and instantaneous packet counts at a router in a communication network, where the arr...
Maxim Raginsky, Sina Jafarpour, Rebecca Willett, A...