534 search results - page 33 / 107 » Data Separation by Sparse Representations |
HAPTICS
2003
IEEE
14 years 3 months ago
2003
IEEE
We investigated people’s ability to report the shape and scale of a spatial layout after sparse contact, without vision. We propose that the initial representation of sparsely c...
RT
2004
Springer
14 years 3 months ago
2004
Springer
We introduce a tiled 3D MIP map representation of global illumination data. The representation is an adaptive, sparse octree with a “brick” at each octree node; each brick con...
ICC
2009
IEEE
14 years 4 months ago
2009
IEEE
In this paper we present an alternative separable implementation of L2 -orthogonal space-time codes (STC) for continuous phase modulation (CPM). In this approach, we split the STC...
ISBI
2008
IEEE
14 years 10 months ago
2008
IEEE
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
JMLR
2006
13 years 10 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...