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NIPS
1994
14 years 11 months ago
A Non-linear Information Maximisation Algorithm that Performs Blind Separation
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
Anthony J. Bell, Terrence J. Sejnowski
ICASSP
2010
IEEE
14 years 10 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
IVC
2008
101views more  IVC 2008»
14 years 10 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
CPHYSICS
2007
82views more  CPHYSICS 2007»
14 years 10 months ago
Charge transfer mechanism in a PolydGpdCp fiber and in wet DNA
Recently there has been great interest in the conducting properties of DNA because of their potential applications to nanotechnology and their role in protecting the molecule from...
Francesco Luigi Gervasio
CANDC
2002
ACM
14 years 9 months ago
A Tool for the Interactive 3D Visualization of Electronic Structure in Molecules and Solids
This paper presents the Vienna ab initio simulation package (VASP) data viewer, a desktop 3D visualization application for the analysis of valence electronic structure information...
Timothy B. Terriberry, David F. Cox, Doug A. Bowma...