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157
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
124
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
111
Voted
MIR
2006
ACM
15 years 8 months ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
156
Voted
IJCV
2010
15 years 23 days ago
2010
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...