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ECCV
2010
Springer
15 years 11 months ago
Cosegmentation revisited: Models and optimization
The problem of cosegmentation consists of segmenting the same object (or objects of the same class) in two or more distinct images. Recently a number of different models have been...
CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ANTSW
2006
Springer
15 years 10 months ago
Higher Order Pheromone Models in Ant Colony Optimisation
Ant colony optimisation is a constructive metaheuristic that successively builds solutions from problem-specific components. A parameterised model known as pheromone--an analogue o...
James Montgomery
220
Voted
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
16 years 28 days ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
PPSN
2004
Springer
15 years 12 months ago
Improving Evolutionary Algorithms with Multi-representation Island Models
Abstract. We present an island model that uses different representations in each island. The model transforms individuals from one representation to another during migrations. We ...
Zbigniew Skolicki, Kenneth A. De Jong