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NIPS
1994
13 years 11 months ago
Learning Stochastic Perceptrons Under k-Blocking Distributions
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
Mario Marchand, Saeed Hadjifaradji
ICASSP
2010
IEEE
13 years 10 months ago
Simultaneous search for all modes in multilinear models
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
Petr Tichavský, Zbynek Koldovský
ICASSP
2010
IEEE
13 years 10 months ago
Sparsity maximization under a quadratic constraint with applications in filter design
This paper considers two problems in sparse filter design, the first involving a least-squares constraint on the frequency response, and the second a constraint on signal-to-noi...
Dennis Wei, Alan V. Oppenheim
ICCTA
2007
IEEE
13 years 10 months ago
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
Ataollah Ebrahimzadeh, Seyed Alireza Seyedin
AUTOMATICA
2007
111views more  AUTOMATICA 2007»
13 years 10 months ago
Output feedback variable structure control for linear systems with uncertainties and disturbances
This paper proposes a dynamic output feedback variable structure controller for linear MIMO systems with mismatched and matched normbounded uncertainties and matched nonlinear dis...
PooGyeon Park, Doo Jin Choi, Seong G. Kong