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» Solving Hierarchical Optimization Problems Using MOEAs
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135
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JAIR
2002
163views more  JAIR 2002»
15 years 4 days ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
ITIIS
2010
240views more  ITIIS 2010»
14 years 11 months ago
Super-Resolution Iris Image Restoration using Single Image for Iris Recognition
Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; howeve...
Kwang Yong Shin, Byung Jun Kang, Kang Ryoung Park
ATAL
2003
Springer
15 years 5 months ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
98
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Multi-level non-rigid image registration using graph-cuts
Non-rigid image registration is widely used in medical image analysis and image processing. It remains a challenging research problem due to its smoothness requirement and high de...
Ronald W. K. So, Albert C. S. Chung
100
Voted
ICML
2009
IEEE
16 years 1 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas