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JACM
2006
99views more  JACM 2006»
13 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
ICPR
2006
IEEE
14 years 8 months ago
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
We present a novel multi-object tracking algorithm based on multiple hypotheses about the trajectories of the objects. Our work is inspired by Reid's multiple hypothesis trac...
Alex Yong Sang Chia, Liyuan Li, Weimin Huang
BMVC
2002
13 years 10 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
ESA
1995
Springer
182views Algorithms» more  ESA 1995»
13 years 11 months ago
A Geometric Approach to Betweenness
An input to the betweenness problem contains m constraints over n real variables (points). Each constraint consists of three points, where one of the points is specified to lie in...
Benny Chor, Madhu Sudan
PODS
2011
ACM
163views Database» more  PODS 2011»
12 years 10 months ago
Provenance views for module privacy
Scientific workflow systems increasingly store provenance information about the module executions used to produce a data item, as well as the parameter settings and intermediate...
Susan B. Davidson, Sanjeev Khanna, Tova Milo, Debm...