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TSP
2008
166views more  TSP 2008»
15 years 6 months ago
A Convex Analysis Framework for Blind Separation of Non-Negative Sources
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
COMPSEC
2002
185views more  COMPSEC 2002»
15 years 6 months ago
A framework for understanding and predicting insider attacks
In this paper an insider attack is considered to be deliberate misuse by those who are authorized to use computers and networks. Applying this definition in real-life settings to ...
E. Eugene Schultz
JAL
1998
85views more  JAL 1998»
15 years 6 months ago
Isomorph-Free Exhaustive Generation
We describe a very general technique for generating families of combinatorial objects without isomorphs. It applies to almost any class of objects for which an inductive construct...
Brendan D. McKay
PAA
2002
15 years 6 months ago
Combining Discriminant Models with New Multi-Class SVMs
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
Yann Guermeur
TASLP
2002
156views more  TASLP 2002»
15 years 6 months ago
Musical genre classification of audio signals
Abstract--Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its memb...
George Tzanetakis, Perry R. Cook