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» A Structural Framework for Assembly Modeling and Recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
BIOSIG
2003
140views Biometrics» more  BIOSIG 2003»
13 years 8 months ago
Multifactor Biometric Sketch Authentication
: In this paper we propose a multifactor biometric sketch authentication method based on biometric sketch recognition and a user’s personal knowledge about the sketch‘s content...
Arslan Brömme, Stephan Al-Zubi
AAAI
2000
13 years 8 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen
IWANN
2005
Springer
14 years 29 days ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
COGSCI
2002
99views more  COGSCI 2002»
13 years 7 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland