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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 8 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
IADIS
2003
15 years 5 months ago
Educational Component Model for Adaptive Web-Based Courses
The primary business problem that a Learning Content Management System faces is to create just enough content, just in time, meeting the needs of different types of learners. A po...
Freddy Duitama, Bruno Defude, Amel Bouzeghoub, Cla...
ECCV
2010
Springer
15 years 5 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
SAC
2008
ACM
15 years 3 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
ECCV
1996
Springer
16 years 6 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris