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» Approximation algorithms for the 0-extension problem
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ICCV
2011
IEEE
14 years 7 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
ATAL
2010
Springer
15 years 7 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
200
Voted
PODC
2009
ACM
16 years 7 months ago
Oblivious interference scheduling
In the interference scheduling problem, one is given a set of n communication requests described by pairs of points from a metric space. The points correspond to devices in a wire...
Alexander Fanghänel, Berthold Vöcking, H...
AAMAS
2010
Springer
15 years 7 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
185
Voted
ECCV
2004
Springer
16 years 9 months ago
Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
This article proposes a solution of the Lambertian Shape From Shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solutions. The power ...
Emmanuel Prados, Olivier D. Faugeras