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» Feature Hierarchies for Object Classification
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ICPR
2006
IEEE
15 years 10 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin
ICCV
2005
IEEE
15 years 11 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
CVPR
2007
IEEE
15 years 11 months ago
Modelling Objects using Distribution and Topology of Multiscale Region Pairs
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Himanshu Arora, Narendra Ahuja
3DIM
2003
IEEE
15 years 1 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
NAR
2008
115views more  NAR 2008»
14 years 9 months ago
Data growth and its impact on the SCOP database: new developments
The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationsh...
Antonina Andreeva, Dave Howorth, John-Marc Chandon...