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ISBI
2008
IEEE
16 years 7 months ago
Deconvolution of 3D fluorescence micrographs with automatic risk minimization
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization p...
Sathish Ramani, Cédric Vonesch, Michael Uns...
IJON
2007
114views more  IJON 2007»
15 years 6 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
HCI
2009
15 years 4 months ago
Agent-Based Driver Abnormality Estimation
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
Tony Poitschke, Florian Laquai, Gerhard Rigoll
192
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VLSM
2005
Springer
16 years 5 days ago
Denoising Tensors via Lie Group Flows
The need to regularize tensor fields arise recently in various applications. We treat in this paper tensors that belong to matrix Lie groups. We formulate the problem of these SO(...
Yaniv Gur, Nir A. Sochen
VISUALIZATION
2002
IEEE
15 years 11 months ago
Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI
In this paper we develop a new technique for tracing anatomical fibers from 3D tensor fields. The technique extracts salient tensor features using a local regularization techniq...
Leonid Zhukov, Alan H. Barr