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» Learning from Multiple Sources of Inaccurate Data
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ICASSP
2009
IEEE
14 years 19 days ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
IPSN
2003
Springer
14 years 1 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
MICRO
1999
IEEE
123views Hardware» more  MICRO 1999»
14 years 1 months ago
Improving Branch Predictors by Correlating on Data Values
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Timothy H. Heil, Zak Smith, James E. Smith
SIGMOD
1998
ACM
127views Database» more  SIGMOD 1998»
14 years 1 months ago
ARIADNE: A System for Constructing Mediators for Internet Sources
The Web is based on a browsing paradigm that makes it di cult to retrieve and integrate data from multiple sites. Today, the only way to achieve this integration is by building sp...
José Luis Ambite, Naveen Ashish, Greg Baris...
MLDM
2009
Springer
14 years 3 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...