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» Introduction to Statistical Signal Processing
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ICA
2004
Springer
15 years 5 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott
DATAMINE
1998
249views more  DATAMINE 1998»
14 years 11 months ago
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
Sreerama K. Murthy
PERCOM
2003
ACM
15 years 11 months ago
Movement Awareness for a Sentient Environment
This paper describes a system that can observe, recognise and analyse human movements, to provide this awareness to context-aware applications. The movement recognition and charact...
Robert Headon
IWDW
2005
Springer
15 years 5 months ago
On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints
The development of watermarking schemes in the literature is generally guided by a power constraint on the watermark to be embedded into the host. In a steganographic framework the...
Mark T. Hogan, Félix Balado, Neil J. Hurley...
ICA
2004
Springer
15 years 5 months ago
Non-linear ICA by Using Isometric Dimensionality Reduction
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...
John Aldo Lee, Christian Jutten, Michel Verleysen