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» Learning Mixtures of DAG Models
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TASLP
2010
138views more  TASLP 2010»
14 years 10 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
121
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ICPR
2004
IEEE
16 years 4 months ago
Object Class Recognition using Images of Abstract Regions
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
Jeff A. Bilmes, Linda G. Shapiro, Yi Li
177
Voted
WWW
2008
ACM
16 years 4 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
CSCW
2004
ACM
15 years 9 months ago
Augmenting the social space of an academic conference
Academic conferences provide a social space for people to present their work, learn about others’ work, and interact informally with one another. However, opportunities for inte...
Joseph F. McCarthy, David W. McDonald, Suzanne Sor...
138
Voted
EUROMICRO
2003
IEEE
15 years 8 months ago
Web Service Composition Languages: Old Wine in New Bottles?
Recently, several languages for web service composition have emerged (e.g., BPEL4WS and WSCI). The goal of these languages is to glue web services together in a process-oriented w...
Wil M. P. van der Aalst, Marlon Dumas, Arthur H. M...