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DCC
2001
IEEE
16 years 6 months ago
The Coding-Optimal Transform
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...
Cynthia Archer, Todd K. Leen
FOIKS
2008
Springer
16 years 4 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICCAD
2005
IEEE
100views Hardware» more  ICCAD 2005»
16 years 4 months ago
Performance-centering optimization for system-level analog design exploration
In this paper we propose a novel analog design optimization methodology to address two key aspects of top-down system-level design: (1) how to optimally compare and select analog ...
Xin Li, Jian Wang, Lawrence T. Pileggi, Tun-Shih C...
ICPR
2010
IEEE
16 years 2 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
CEC
2009
IEEE
16 years 2 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...