955 search results - page 127 / 191 » Component-Based Adaptive Sampling |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ISBI
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper we investigate a mesh-modeling approach for multi-modality image reconstruction. In the proposed approach a mesh model uses information obtained from an anatomical M...
ICIAP
2007
ACM
14 years 9 months ago
2007
ACM
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. T...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
DCC
2010
IEEE
14 years 4 months ago
2010
IEEE
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...