890 search results - page 25 / 178 » Learning Generic Prior Models for Visual Computation |
NIPS
2007
14 years 11 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
111
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CRIWG
2001
14 years 11 months ago
2001
This paper presents an approach for the integration of domain related elements and operational semantics into collaborative environments based on visual languages. This integratio...
ICPR
2000
IEEE
15 years 2 months ago
2000
IEEE
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
85
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...
104
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CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...