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CVPR
2007
IEEE
15 years 11 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
AAAI
2010
14 years 11 months ago
Kernelized Sorting for Natural Language Processing
Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...
ICDE
2002
IEEE
121views Database» more  ICDE 2002»
15 years 11 months ago
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching...
Sergey Melnik, Hector Garcia-Molina, Erhard Rahm
ICCV
2011
IEEE
13 years 9 months ago
A Graph-matching Kernel for Object Categorization
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
Olivier Duchenne, Armand Joulin, Jean Ponce
3DPVT
2004
IEEE
15 years 1 months ago
Local Approximate 3D Matching of Proteins in Viral Cryo-EM Density Maps
Experimental structure analysis of biological molecules (e.g, proteins) or macromolecular complexes (e.g, viruses) can be used to generate three-dimensional density maps of these e...
Stefan Burkhardt, Kimmo Fredriksson, Tuomas Ojamie...