645 search results - page 31 / 129 » Modeling object classes in aerial images using hidden Markov... |
101
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ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
110
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CRV
2008
IEEE
15 years 6 months ago
2008
IEEE
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
102
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ICCV
2005
IEEE
15 years 5 months ago
2005
IEEE
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
131
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
ICPR
2002
IEEE
16 years 27 days ago
2002
IEEE
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...