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ICASSP
2008
IEEE
14 years 2 months ago
Blind audiovisual separation based on redundant representations
In this work we present a method to perform a complete audiovisual source separation without need of previous information. This method is based on the assumption that sounds are c...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
FOCI
2007
IEEE
14 years 2 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
14 years 2 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
GECCO
2004
Springer
14 years 1 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...