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» Efficient algorithms for bichromatic separability
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92
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JMLR
2010
192views more  JMLR 2010»
14 years 4 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
61
Voted
ISCAS
2006
IEEE
120views Hardware» more  ISCAS 2006»
15 years 3 months ago
Localization based audio source separation by sub-band beamforming
— In this paper, a localization based approach of audio signal separation from binary mixtures is carried out. The audio sources are localized in the spatial domain (azimuth plan...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...
ISCAS
2005
IEEE
149views Hardware» more  ISCAS 2005»
15 years 3 months ago
Audio source separation by source localization with Hilbert spectrum
—This paper presents a technique to separate the audio signals from their binaural mixtures based on localizing the sources in the space of interaural differences. Two interaural...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...
ESOP
2010
Springer
15 years 7 months ago
Separating Shape Graphs
Detailed memory models that expose individual fields are necessary to precisely analyze code that makes use of low-level aspects such as, pointers to fields and untagged unions. Ye...
Vincent Laviron, Bor-Yuh Evan Chang and Xavier Riv...
63
Voted
IDA
2009
Springer
14 years 7 months ago
Efficient Vertical Mining of Frequent Closures and Generators
Abstract. The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few m...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...