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171
Voted
WSC
1998
15 years 8 months ago
1998
Causality constraints of random discrete simulation make parallel and distributed processing difficult. Methods of applying reconfigurable logic to implement and accelerate simula...
207
Voted
ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
226
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ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
206
click to vote
ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
203
Voted
ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...