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ICIP
2006
IEEE
16 years 22 days ago
Fast Iterative Adaptive Reconstruction in Low-Dose CT Imaging
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
Lin Cheng, Yunqiang Chen, Tong Fang, Jason Tyan
IJCNN
2006
IEEE
16 years 21 days ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
UML
2005
Springer
16 years 5 days ago
Modeling Turnpike: A Model-Driven Framework for Domain-Specific Software Development
This paper overviews the Modeling Turnpike (mTurnpike) project, which investigates a generic model-driven development framework that supports various domain-specific solutions (i.e...
Hiroshi Wada, Jun Suzuki
WIRN
2005
Springer
16 years 4 days ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
168
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TIP
2008
135views more  TIP 2008»
15 years 6 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma