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» Parameter Setting for Evolutionary Latent Class Clustering
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GRID
2004
Springer
14 years 1 months ago
MARS: A Metascheduler for Distributed Resources in Campus Grids
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Abhijit Bose, Brian Wickman, Cameron Wood
CVPR
2007
IEEE
14 years 2 months ago
EDA Approach for Model Based Localization and Recognition of Vehicles
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu...
BMCBI
2007
178views more  BMCBI 2007»
13 years 7 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
14 years 1 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 11 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li