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JMLR
2010
141views more  JMLR 2010»
13 years 3 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
VTC
2006
IEEE
113views Communications» more  VTC 2006»
14 years 2 months ago
On the Practical Issues in Hop Count Localization of Sensors in a Multihop Network
– Simple algorithms have been developed in the area of node localization in a wireless sensor network. For these simple algorithms to work, several assumptions were made. However...
Eddie B. S. Tan, Joo Ghee Lim, Winston Khoon Guan ...
CORR
2007
Springer
121views Education» more  CORR 2007»
13 years 8 months ago
Diagrammatic Inference
Diagrammatic logics were introduced in 2002, with emphasis on the notions of specifications and models. In this paper we improve the description of the inference process, which i...
Dominique Duval
CPAIOR
2007
Springer
14 years 2 months ago
YIELDS: A Yet Improved Limited Discrepancy Search for CSPs
Abstract. In this paper, we introduce a Yet ImprovEd Limited Discrepancy Search (YIELDS), a complete algorithm for solving Constraint Satisfaction Problems. As indicated in its nam...
Wafa Karoui, Marie-José Huguet, Pierre Lope...