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» Texture analysis: an adaptive probabilistic approach
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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
14 years 11 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
AI
2006
Springer
15 years 1 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
VRST
2010
ACM
14 years 7 months ago
An adaptive training-free feature tracker for mobile phones
While tracking technologies based on fiducial markers have dominated the development of Augmented Reality (AR) applications for almost a decade, various real-time capable approach...
Jan Herling, Wolfgang Broll
P2P
2010
IEEE
202views Communications» more  P2P 2010»
14 years 8 months ago
Optimizing Near Duplicate Detection for P2P Networks
—In this paper, we propose a probabilistic algorithm for detecting near duplicate text, audio, and video resources efficiently and effectively in large-scale P2P systems. To thi...
Odysseas Papapetrou, Sukriti Ramesh, Stefan Siersd...
BMCBI
2006
147views more  BMCBI 2006»
14 years 9 months ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...