159 search results - page 9 / 32 » Consistent Minimization of Clustering Objective Functions |
ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
107
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CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
125
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
ICCV
1999
IEEE
16 years 1 months ago
1999
IEEE
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
121
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...