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IJCNN
2006
IEEE
14 years 1 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
IVS
2007
100views more  IVS 2007»
13 years 7 months ago
NetLens: iterative exploration of content-actor network data
Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper n abstract Content-Actor ...
Hyunmo Kang, Catherine Plaisant, Bongshin Lee, Ben...
DAGSTUHL
1997
13 years 9 months ago
Spotting Structure in Complex Time Dependent Flow
Analyzing structure in complex time dependent flow fields is a challenging problem. This paper describes the use of spot noise for the visualization of this type of fields. Spo...
Wim C. de Leeuw, Robert van Liere
ICIAP
1997
ACM
13 years 11 months ago
The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data
The European Concerted Action \COMPARES" (Concerted Action on COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data) was funded within the Environment an...
Jim Austin, Giorgio Giacinto, I. Kanellopoulos, Ke...
UAI
1997
13 years 8 months ago
Exploring Parallelism in Learning Belief Networks
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
Tongsheng Chu, Yang Xiang