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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 6 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
ICCV
2005
IEEE
14 years 2 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
INFOVIS
2002
IEEE
14 years 1 months ago
ACE: A Fast Multiscale Eigenvectors Computation for Drawing Huge Graphs
We present an extremely fast graph drawing algorithm for very large graphs, which we term ACE (for Algebraic multigrid Computation of Eigenvectors). ACE exhibits an improvement of...
Yehuda Koren, Liran Carmel, David Harel
AAIM
2007
Springer
120views Algorithms» more  AAIM 2007»
14 years 26 days ago
Online OVSF Code Assignment with Resource Augmentation
Abstract. Orthogonal Variable Spreading Factor (OVSF) code assignment is a fundamental problem in Wideband Code-Division MultipleAccess (W-CDMA) systems, which play an important ro...
Francis Y. L. Chin, Yong Zhang, Hong Zhu
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
14 years 26 days ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel