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JMIV
2006
72views more  JMIV 2006»
13 years 4 months ago
The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
The uncertainty principle is a fundamental concept in the context of signal and image processing, just as much as it has been in the framework of physics and more recently in harmo...
Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi
SCALESPACE
2005
Springer
13 years 10 months ago
Scale-Space Generation via Uncertainty Principles
This study is concerned with the uncertainty principles which are related to the Weyl-Heisenberg, the SIM(2) and the Affine groups. A general theorem which associates an uncertaint...
Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi
BC
2005
101views more  BC 2005»
13 years 4 months ago
A control theory approach to the analysis and synthesis of the experimentally observed motion primitives
Recent experiments on frogs and rats, have led to the hypothesis that sensory-motor systems are organized into a finite number of linearly combinable modules; each module generates...
Francesco Nori, Ruggero Frezza
ICML
2005
IEEE
14 years 5 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...