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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
13 years 10 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ICAPR
2005
Springer
13 years 12 months ago
Recognition Tasks Are Imitation Games
There is need for more formal specification of recognition tasks. Currently, it is common to use labeled training samples to illustrate the task to be performed. The mathematical ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
PR
2006
108views more  PR 2006»
13 years 6 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
STOC
2009
ACM
271views Algorithms» more  STOC 2009»
14 years 7 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
JASIS
2010
170views more  JASIS 2010»
13 years 4 months ago
Analyzing URL queries
This study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation and user click-through behavior was examined to determine the intent be...
Wei Meng Lee, Mark Sanderson