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TNN
1998
96views more  TNN 1998»
13 years 8 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
CVPR
2000
IEEE
14 years 11 months ago
Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Yong Rui, P. Anandan
STOC
2002
ACM
149views Algorithms» more  STOC 2002»
14 years 9 months ago
The complexity of choosing an H-colouring (nearly) uniformly at random
Cooper, Dyer and Frieze studied the problem of sampling H-colourings (nearly) uniformly at random. Special cases of this problem include sampling colourings and independent sets a...
Leslie Ann Goldberg, Steven Kelk, Mike Paterson
ISCI
2007
138views more  ISCI 2007»
13 years 8 months ago
A fast algorithm for one-unit ICA-R
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients...
Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou L...