374 search results - page 38 / 75 » Sparse representation of images with hybrid linear models |
JMLR
2010
14 years 10 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
100
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ACCV
2006
Springer
15 years 5 months ago
2006
Springer
This paper presents a method of image-based 3D modeling for intricately-shaped objects, such as a fur, tree leaves and human hair. We formulate the imaging process of these small g...
ISBI
2007
IEEE
15 years 6 months ago
2007
IEEE
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
122
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CDC
2010
IEEE
14 years 6 months ago
2010
IEEE
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
111
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NECO
2007
14 years 11 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...