307 search results - page 27 / 62 » Dynamic and Scalable Large Scale Image Reconstruction |
ICML
2009
IEEE
14 years 8 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...
IPPS
2008
IEEE
14 years 2 months ago
2008
IEEE
NAMD† is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybrid spatial and force decomposition, a technique now used by most scalable pr...
SEMWEB
2007
Springer
14 years 2 months ago
2007
Springer
Recent work in the field of middleware technology proposes semantic spaces as a tool for coping with the scalability, heterogeneity and dynamism issues arising in large scale dist...
COMPGEOM
2008
ACM
13 years 9 months ago
2008
ACM
Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recent advances in higher dimensions have led to new method...
SIGMOD
2007
ACM
14 years 8 months ago
2007
ACM
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...