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ICASSP
2010
IEEE
15 years 2 months ago
Iterated smoothing for accelerated gradient convex minimization in signal processing
In this paper, we consider the problem of minimizing a non-smooth convex problem using first-order methods. The number of iterations required to guarantee a certain accuracy for ...
Tobias Lindstrøm Jensen, Jan Østerga...
104
Voted
PAMI
2006
147views more  PAMI 2006»
15 years 2 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
150
Voted
ASC
2004
15 years 2 months ago
Soft computing applications in dynamic model identification of polymer extrusion process
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...
115
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CCE
2004
15 years 2 months ago
A strategy for MINLP synthesis of flexible and operable processes
This paper presents a sequential two-stage strategy for the stochastic synthesis of chemical processes in which flexibility and ability to adjust manipulated variables are taken i...
Zorka Novak Pintaric, Zdravko Kravanja
156
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TIT
2008
84views more  TIT 2008»
15 years 1 months ago
A Note on Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto