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PAMI
2012
13 years 3 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce
102
Voted
ECCV
2004
Springer
15 years 6 months ago
CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path
3D reconstruction from image data is required in many medical procedures. Recently, the use of fluoroscopy data to generate these 3D models has been explored. Most existing methods...
Chris Baker, Christian Debrunner, Mohamed Mahfouz,...
101
Voted
ICML
2009
IEEE
16 years 1 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
91
Voted
BIOWIRE
2007
Springer
15 years 6 months ago
The Topological Fortress of Termites
Abstract. Termites are known for building some of the most elaborate architectures observed in the animal world. We here analyse some topological properties of three dimensional ne...
Andrea Perna, Christian Jost, Sergi Valverde, Jacq...
106
Voted
FGCS
2006
122views more  FGCS 2006»
15 years 19 days ago
Conceptual interfaces in hypre
The hypre software library is being developed with the aim of providing scalable solvers for the solution of large, sparse linear systems on massively parallel computers. To this e...
Robert D. Falgout, Jim E. Jones, Ulrike Meier Yang