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» Creating Generative Models from Range Images
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ECMDAFA
2009
Springer
115views Hardware» more  ECMDAFA 2009»
16 years 1 months ago
Managing Flexibility: Modeling Binding-Times in Simulink
Abstract. Model-based development is supposed to improve the development efficiency by raising the abstraction level and generating applications instead of manually coding the appl...
Danilo Beuche, Jens Weiland
IPMI
2011
Springer
14 years 10 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
ACCV
1998
Springer
15 years 10 months ago
Comparison of Mean Field Annealing and Multiresolution Analysis in Missing Data Estimation
The project we are working on is to help develop and test a low cost, large area, high resolution X-ray detection system with a high dynamic range. The large area is achieved by b...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
WCRE
2003
IEEE
15 years 11 months ago
Extracting an Explicitly Data-Parallel Representation of Image-Processing Programs
Our research goal is to retarget image processing programs written in sequential languages (e.g., C) to architectures with data-parallel processing capabilities. Image processing ...
Lewis B. Baumstark Jr., Murat Guler, Linda M. Will...
JMLR
2006
120views more  JMLR 2006»
15 years 6 months ago
Learning Parts-Based Representations of Data
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
David A. Ross, Richard S. Zemel