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JAL
2002
86views more  JAL 2002»
15 years 4 months ago
Exploiting structure in quantified formulas
We study the computational problem "find the value of the quantified formula obtained by quantifying the variables in a sum of terms." The "sum" can be based o...
Richard Edwin Stearns, Harry B. Hunt III
CVPR
2007
IEEE
16 years 7 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
ECCV
2008
Springer
16 years 6 months ago
Keypoint Signatures for Fast Learning and Recognition
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Michael Calonder, Vincent Lepetit, Pascal Fua
EVOW
2009
Springer
15 years 11 months ago
A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony
The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA, RNA or protein sequences while minimizing the number of evolutionary changes. Much work has been ...
Jean-Michel Richer, Adrien Goëffon, Jin-Kao H...
BMCBI
2007
133views more  BMCBI 2007»
15 years 5 months ago
MATLIGN: a motif clustering, comparison and matching tool
Background: Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS)...
Matti Kankainen, Ari Löytynoja