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» Efficient Discovery of Confounders in Large Data Sets
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NIPS
2004
13 years 10 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
VIIP
2001
13 years 10 months ago
Visualization Channels: Time Multiplexing on a Display
Large and complex information requires arbitrarily extensive displays for an exact, comprehensive visualization. This paper introduces a technique, time-multiplexing, for presenti...
Delbert Hart, Mihail Eduard Tudoreanu
NIPS
2000
13 years 10 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng
ICPR
2006
IEEE
14 years 10 months ago
A Prototypes-Embedded Genetic K-means Algorithm
This paper presents a genetic algorithm (GA) for Kmeans clustering. Instead of the widely applied stringof-group-numbers encoding, we encode the prototypes of the clusters into th...
Hsin-Chia Fu, Hsin-Min Wang, Shih-Sian Cheng, Yi-H...
SIGMOD
2003
ACM
142views Database» more  SIGMOD 2003»
14 years 9 months ago
Winnowing: Local Algorithms for Document Fingerprinting
Digital content is for copying: quotation, revision, plagiarism, and file sharing all create copies. Document fingerprinting is concerned with accurately identifying copying, incl...
Saul Schleimer, Daniel Shawcross Wilkerson, Alexan...