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ICASSP
2007
IEEE
15 years 10 months ago
Multi-Channel Source Separation Preserving Spatial Information
In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach is applicable to any source separation algorithm an...
Robert Aichner, Herbert Buchner, Meray Zourub, Wal...
CIKM
1995
Springer
15 years 10 months ago
Learning Subjective Relevance to Facilitate Information Access
As the amount of available electronic information is dramatically increasing, the ability for rapid and e ective access to information has become critical. Most traditional inform...
James R. Chen, Nathalie Mathe
USENIX
2003
15 years 8 months ago
Learning Spam: Simple Techniques For Freely-Available Software
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...
Bart Massey, Mick Thomure, Raya Budrevich, Scott L...
ACL
2006
15 years 8 months ago
Topic-Focused Multi-Document Summarization Using an Approximate Oracle Score
We consider the problem of producing a multi-document summary given a collection of documents. Since most successful methods of multi-document summarization are still largely extr...
John M. Conroy, Judith D. Schlesinger, Dianne P. O...
FLAIRS
2003
15 years 8 months ago
An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
Boris Brandherm