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ESANN
2004
13 years 10 months ago
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...
EOR
2010
145views more  EOR 2010»
13 years 8 months ago
Robust and data-driven approaches to call centers
We propose both robust and data-driven approaches to a fluid model of call centers that incorporates random arrival rates with abandonment to determine staff levels and dynamic ro...
Dimitris Bertsimas, Xuan Vinh Doan
ICML
2003
IEEE
14 years 9 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley
EMNLP
2006
13 years 10 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran
ICASSP
2008
IEEE
14 years 3 months ago
Performance and robustness: A trade-off in dynamic signature verification
A performance and robustness study for on-line signature veri cation is presented. Experiments are carried out on the MCYT database comprising 16,500 signatures from 330 subjects,...
Javier Galbally, Julian Fiérrez, Javier Ort...