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JMLR
2010
195views more  JMLR 2010»
14 years 8 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CVPR
2011
IEEE
14 years 5 months ago
Shape Estimation in Natural Illumination
The traditional shape-from-shading problem, with a single light source and Lambertian reflectance, is challenging since the constraints implied by the illumination are not suffi...
Micah Johnson, Edward Adelson
VEE
2010
ACM
238views Virtualization» more  VEE 2010»
15 years 3 months ago
Optimizing crash dump in virtualized environments
Crash dump, or core dump is the typical way to save memory image on system crash for future offline debugging and analysis. However, for typical server machines with likely abund...
Yijian Huang, Haibo Chen, Binyu Zang
AMC
2004
108views more  AMC 2004»
14 years 9 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer
SIGGRAPH
1999
ACM
15 years 2 months ago
Physically Based Motion Transformation
We introduce a novel algorithm for transforming character animation sequences that preserves essential physical properties of the motion. By using the spacetime constraints dynami...
Zoran Popovic, Andrew P. Witkin