160 search results - page 26 / 32 » Sparse decompositions in |
ECCV
2008
Springer
16 years 9 days ago
2008
Springer
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
ECCV
2004
Springer
16 years 9 days ago
2004
Springer
When we take a picture through transparent glass the image we obtain is often a linear superposition of two images: the image of the scene beyond the glass plus the image of the sc...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
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ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
SCALESPACE
2007
Springer
15 years 4 months ago
2007
Springer
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...