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COLT
2004
Springer
15 years 8 months ago
Statistical Properties of Kernel Principal Component Analysis
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
Laurent Zwald, Olivier Bousquet, Gilles Blanchard
CVPR
2011
IEEE
14 years 10 months ago
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Dong Huang, Yuandong Tian, Fernando DelaTorre
MEMOCODE
2007
IEEE
15 years 9 months ago
Scheduling as Rule Composition
Bluespec is a high-level hardware description language used for architectural exploration, hardware modeling and synthesis of semiconductor chips. In Bluespec, one views hardware ...
Nirav Dave, Arvind, Michael Pellauer
ICMT
2010
Springer
15 years 8 months ago
Surviving the Heterogeneity Jungle with Composite Mapping Operators
Abstract. Model transformations play a key role in the vision of Modelngineering. Nevertheless, mechanisms like abstraction, variation and composition for specifying and applying r...
Manuel Wimmer, Gerti Kappel, Angelika Kusel, Werne...
ICPR
2006
IEEE
16 years 4 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio