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» Solving Hierarchical Optimization Problems Using MOEAs
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IVC
2002
132views more  IVC 2002»
13 years 9 months ago
Structure and motion estimation from apparent contours under circular motion
In this paper we address the problem of recovering structure and motion from the apparent contours of a smooth surface. Fixed image features under circular motion and their relati...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...
TASLP
2002
109views more  TASLP 2002»
13 years 9 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
NN
2007
Springer
106views Neural Networks» more  NN 2007»
13 years 8 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
ICIP
2010
IEEE
13 years 7 months ago
Stochastic gradient descent for robust inverse photomask synthesis in optical lithography
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...
Ningning Jia, Edmund Y. Lam
CP
2009
Springer
13 years 7 months ago
Minimizing the Maximum Number of Open Stacks by Customer Search
We describe a new exact solver for the minimization of open stacks problem (MOSP). By combining nogood recording with a branch and bound strategy based on choosing which customer s...
Geoffrey Chu, Peter J. Stuckey