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TNN
2010
182views Management» more  TNN 2010»
15 years 1 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
TSP
2010
15 years 1 months ago
Testing stationarity with surrogates: a time-frequency approach
An operational framework is developed for testing stationarity relatively to an observation scale, in both stochastic and deterministic contexts. The proposed method is based on a ...
Pierre Borgnat, Patrick Flandrin, Paul Honeine, C&...
ICASSP
2011
IEEE
14 years 10 months ago
Proportionate-type normalized least mean square algorithm with gain allocation motivated by minimization of mean-square-weight d
In previous work, a water-filling algorithm was proposed which sought to minimize the mean square error (MSE) at any given time by optimally choosing the gains (i.e. step-sizes) ...
Kevin T. Wagner, Milos Doroslovacki
ICASSP
2011
IEEE
14 years 10 months ago
An iterative least-squares technique for dereverberation
Some recent dereverberation approaches that have been effective for automatic speech recognition (ASR) applications, model reverberation as a linear convolution operation in the s...
Kshitiz Kumar, Bhiksha Raj, Rita Singh, Richard M....
ACL
2011
14 years 10 months ago
A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account...
John Lee, Jason Naradowsky, David A. Smith