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» Object recognition using graph spectral invariants
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ICPR
2008
IEEE
14 years 3 months ago
Illumination invariant spatio-colorimetric normalization
In the context of object recognition, it is useful to extract, from the images, efficient indexes that are insensitive to the illumination conditions, to the camera scale factor ...
Damien Muselet, Alain Trémeau
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 9 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CAD
2007
Springer
13 years 9 months ago
A spectral approach to shape-based retrieval of articulated 3D models
We present an approach for robust shape retrieval from databases containing articulated 3D models. Each shape is represented by the eigenvectors of an appropriately defined affin...
Varun Jain, Hao Zhang 0002
ACIVS
2009
Springer
14 years 3 months ago
Attributed Graph Matching Using Local Descriptions
Abstract. In the pattern recognition context, objects can be represented as graphs with attributed nodes and edges involving their relations. Consequently, matching attributed grap...
Salim Jouili, Ines Mili, Salvatore Tabbone
CVPR
2004
IEEE
14 years 11 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela