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JMIV
2006
72views more  JMIV 2006»
13 years 8 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
JMM2
2006
149views more  JMM2 2006»
13 years 8 months ago
Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space
One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. F...
Eric Paquet, Marc Rioux
PR
2006
112views more  PR 2006»
13 years 8 months ago
RBF-based neurodynamic nearest neighbor classification in real pattern space
Superposition of radial basis functions centered at given prototype patterns constitutes one of the most suitable energy forms for gradient systems that perform nearest neighbor c...
Mehmet Kerem Müezzinoglu, Jacek M. Zurada
KAIS
2007
97views more  KAIS 2007»
13 years 8 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
KBS
2000
59views more  KBS 2000»
13 years 8 months ago
Hands-on representations in a two-dimensional space for early stages of design
In design, problem analysis is as important as solution synthesis. Strategic knowledge is required not only for constructing a solution but also for framing a problem. While exter...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Shingo Takada