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IJON
2007
94views more  IJON 2007»
13 years 10 months ago
A method for speeding up feature extraction based on KPCA
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Z...
IJCSA
2007
104views more  IJCSA 2007»
13 years 10 months ago
Solving the Satisfiability Problem Using Finite Learning Automata
A large number of problems that occur in knowledge-representation, learning, VLSI-design, and other areas of artificial intelligence, are essentially satisfiability problems. The ...
Ole-Christoffer Granmo, Noureddine Bouhmala
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 10 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
PR
2007
147views more  PR 2007»
13 years 9 months ago
Coarse to over-fine optical flow estimation
We present a readily applicable way to go beyond the accuracy limits of current optical flow estimators. Modern optical flow algorithms employ the coarse to fine approach. We s...
Tomer Amiaz, Eyal Lubetzky, Nahum Kiryati
IEICET
2010
133views more  IEICET 2010»
13 years 8 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...