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» Locally Competitive Algorithms for Sparse Approximation
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AROBOTS
2006
119views more  AROBOTS 2006»
13 years 7 months ago
A Discussion of Simultaneous Localization and Mapping
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on informal studies and mathematical derivation. The first ...
Udo Frese
EMO
2003
Springer
137views Optimization» more  EMO 2003»
14 years 17 days ago
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem
This article proposes the Two-Phase Local Search for finding a good approximate set of non-dominated solutions. The two phases of this procedure are to (i) generate an initial sol...
Luis Paquete, Thomas Stützle
TOG
2010
157views more  TOG 2010»
13 years 2 months ago
Combining global and local virtual lights for detailed glossy illumination
Accurately rendering glossy materials in design applications, where previewing and interactivity are important, remains a major challenge. While many fast global illumination solu...
Tomás Davidovic, Jaroslav Krivánek, ...
ATAL
2010
Springer
13 years 8 months ago
Divide-and-coordinate: DCOPs by agreement
In this paper we investigate an approach to provide approximate, anytime algorithms for DCOPs that can provide quality guarantees. At this aim, we propose the divide-and-coordinat...
Meritxell Vinyals, Marc Pujol, Juan A. Rodrí...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales