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» Learning Color Names from Real-World Images
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123
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ICCV
2007
IEEE
16 years 4 months ago
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method
Theoretical understanding and extension of mean shift procedure has received much attention recently [8, 18, 3]. In this paper, we present a theoretical exploration and an algorit...
Xiaotong Yuan, Stan Z. Li
134
Voted
NN
2008
Springer
158views Neural Networks» more  NN 2008»
15 years 2 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
125
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ECML
2001
Springer
15 years 7 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
255
Voted
DAGM
2011
Springer
14 years 2 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
135
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VIS
2004
IEEE
93views Visualization» more  VIS 2004»
16 years 4 months ago
Investigating Swirl and Tumble Flow with a Comparison of Visualization Techniques
We investigate two important, common fluid flow patterns from computational fluid dynamics (CFD) simulations, namely, swirl and tumble motion typical of automotive engines. We stu...
Robert S. Laramee, Daniel Weiskopf, Jürgen Sc...