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CVPR
2008
IEEE
15 years 7 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
CVPR
2003
IEEE
16 years 8 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
RECOMB
2004
Springer
16 years 7 months ago
Maximum likelihood resolution of multi-block genotypes
We present a new algorithm for the problems of genotype phasing and block partitioning. Our algorithm is based on a new stochastic model, and on the novel concept of probabilistic...
Gad Kimmel, Ron Shamir
184
Voted
WSC
2004
15 years 8 months ago
Building Credible Input Models
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
187
Voted
WSC
1998
15 years 8 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis