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» Feature Hierarchies for Object Classification
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ICPR
2006
IEEE
16 years 4 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
16 years 5 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
16 years 5 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 6 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»
15 years 3 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...