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» Two-Step Classification Based on Scale Space
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JMLR
2010
206views more  JMLR 2010»
13 years 2 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
JGS
2002
91views more  JGS 2002»
13 years 7 months ago
Toward micro-scale spatial modeling of gentrification
A simple preliminary model of gentrification is presented. The model is based on an irregular cellular automaton architecture drawing on the concept of proximal space, which is wel...
David O'Sullivan
ICPR
2008
IEEE
14 years 9 months ago
Generic scale-space process for handwriting documents analysis
This paper presents a generic architecture for handwriting documents analysis. It covers all analysis steps from the content description of the document (layout analysis, handwrit...
Guillaume Joutel, Hubert Emptoz, Véronique ...
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 8 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
PRL
2010
209views more  PRL 2010»
13 years 2 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel