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» Computationally Efficient Estimators for Dimension Reduction...
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ICPR
2002
IEEE
14 years 6 months ago
Radial Projections for Non-Linear Feature Extraction
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
Alberto J. Pérez Jiménez, Juan Carlo...
AAAI
2008
13 years 8 months ago
Dimension Amnesic Pyramid Match Kernel
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Yi Liu, Xulei Wang, Hongbin Zha
CVPR
2010
IEEE
13 years 7 months ago
Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
IJCINI
2007
125views more  IJCINI 2007»
13 years 5 months ago
A Unified Approach To Fractal Dimensions
The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
Witold Kinsner
VLSID
2005
IEEE
123views VLSI» more  VLSID 2005»
14 years 6 months ago
Variance Reduction in Monte Carlo Capacitance Extraction
In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
Shabbir H. Batterywala, Madhav P. Desai