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ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 2 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
ICCV
2007
IEEE
14 years 9 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady
PRL
2007
164views more  PRL 2007»
13 years 7 months ago
Retrieval of objects in video by similarity based on graph matching
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency...
F. Chevalier, Jean-Philippe Domenger, Jenny Benois...
CVPR
2009
IEEE
15 years 2 months ago
A Tensor-Based Algorithm for High-Order Graph Matching
This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order constraints instead of the unary or pairwise ones used in...
Francis R. Bach, In-So Kweon, Jean Ponce, Olivier ...
ICPR
2008
IEEE
14 years 8 months ago
Continuous graph cuts for prior-based object segmentation
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...