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» Graph-Theoretical Methods in Computer Vision
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ICCV
2011
IEEE
14 years 6 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
ICCV
2011
IEEE
14 years 6 months ago
Multiclass Recognition and Part Localization with Humans in the Loop
We propose a visual recognition system that is designed for fine-grained visual categorization. The system is composed of a machine and a human user. The user, who is unable to c...
Catherine Wah, Steven Branson, Pietro Perona, Serg...
ECCV
2004
Springer
16 years 8 months ago
Appearance Based Qualitative Image Description for Object Class Recognition
The problem of recognizing classes of objects as opposed to special instances requires methods of comparing images that capture the variation within the class while they discrimina...
Johan Thureson, Stefan Carlsson
ICCV
2009
IEEE
16 years 11 months ago
Convex Multi-Region Segmentation on Manifolds
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
Amaël Delaunoy, Ketut Fundana, Emmanuel Prados, A...
CVPR
2004
IEEE
16 years 8 months ago
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
Zhimin Fan, Jie Zhou, Ying Wu