1351 search results - page 123 / 271 » Learning from compressed observations |
214
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Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
136
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
154
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FGR
2004
IEEE
15 years 8 months ago
2004
IEEE
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
137
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ACL
2010
15 years 2 months ago
2010
In this paper we present a joint content selection and compression model for single-document summarization. The model operates over a phrase-based representation of the source doc...
144
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ICRA
2006
IEEE
15 years 10 months ago
2006
IEEE
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...