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» Hybridization methods for the analysis of nonlinear systems
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IJCNN
2007
IEEE
15 years 8 months ago
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
ICML
2006
IEEE
16 years 2 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
TIP
2008
107views more  TIP 2008»
15 years 1 months ago
Accurate Inversion of 3-D Transformation Fields
Abstract--This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parame...
Vincent Noblet, Christian Heinrich, Fabrice Heitz,...
CASES
2003
ACM
15 years 7 months ago
Clustered calculation of worst-case execution times
Knowing the Worst-Case Execution Time (WCET) of a program is necessary when designing and verifying real-time systems. A correct WCET analysis method must take into account the po...
Andreas Ermedahl, Friedhelm Stappert, Jakob Engblo...
ICIP
2006
IEEE
16 years 3 months ago
Segmentation and Fuzzy-Logic Classification of M-FISH Chromosome Images
Multicolor fluorescence in-situ hybridization (M-FISH) technique provides color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hu...
Hyohoon Choi, Kenneth R. Castleman, Alan C. Bovik