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» Improving Shape Retrieval by Learning Graph Transduction
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ICASSP
2008
IEEE
15 years 4 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
ICPR
2008
IEEE
15 years 4 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ICCV
2007
IEEE
15 years 11 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
CAD
2007
Springer
14 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
CVPR
2009
IEEE
16 years 4 months ago
Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval
The matching and retrieval of 2D shapes is an important challenge in computer vision. A large number of shape similarity approaches have been developed, with the main focus bein...
Xingwei Yang (Temple University), Suzan Koknar-Tez...