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NLP
2000
15 years 5 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
138
Voted
WEA
2010
Springer
311views Algorithms» more  WEA 2010»
15 years 8 months ago
Geometric Minimum Spanning Trees with GeoFilterKruskal
Let P be a set of points in Rd . We propose GEOFILTERKRUSKAL, an algorithm that computes the minimum spanning tree of P using well separated pair decomposition in combination with ...
Samidh Chatterjee, Michael Connor, Piyush Kumar
ICASSP
2008
IEEE
15 years 8 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
CVPR
2007
IEEE
16 years 3 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
152
Voted
FOCS
2009
IEEE
15 years 8 months ago
Extracting Correlations
Abstract— Motivated by applications in cryptography, we consider a generalization of randomness extraction and the related notion of privacy amplification to the case of two cor...
Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky, A...