466 search results - page 30 / 94 » Shape Priors using Manifold Learning Techniques |
135
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MM
2009
ACM
15 years 8 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
101
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CVPR
2001
IEEE
16 years 3 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
119
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
109
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Given two shapes, the correspondence between distinct visual features is the basis for most alignment processes and shape similarity measures. This paper presents an approach intr...
135
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ICIAP
2009
ACM
16 years 2 months ago
2009
ACM
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...