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ICPR
2008
IEEE
16 years 1 months ago
Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intraclass variations and ...
Kaiqi Huang, Min Li, Tieniu Tan, Zhaoxiang Zhang
BMCBI
2006
113views more  BMCBI 2006»
14 years 12 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
CEC
2007
IEEE
15 years 3 months ago
A hybrid evolutionary approach to the university course timetabling problem
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
Salwani Abdullah, Edmund K. Burke, Barry McCollum
NLP
2000
15 years 3 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
DKE
2002
107views more  DKE 2002»
14 years 11 months ago
View selection using randomized search
An important issue in data warehouse development is the selection of a set of views to materialize in order to accelerate OLAP queries, given certain space and maintenance time co...
Panos Kalnis, Nikos Mamoulis, Dimitris Papadias