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» Learning from Highly Structured Data by Decomposition
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MICCAI
1999
Springer
15 years 2 months ago
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
JAIR
2008
171views more  JAIR 2008»
14 years 10 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002
TASE
2011
IEEE
14 years 5 months ago
Multiclass Flow Line Models of Semiconductor Manufacturing Equipment for Fab-Level Simulation
—For multiclass flow line models, we identify a class of service times that allow a decomposition of the system into subsets of servers called channels. In each channel, the cus...
James R. Morrison
IJDET
2010
123views more  IJDET 2010»
14 years 7 months ago
An Adaptive Course Generation Framework
: Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials acc...
Frederick W. B. Li, Rynson W. H. Lau, Parthiban Dh...
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 3 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin