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NN
2006
Springer
114views Neural Networks» more  NN 2006»
14 years 11 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
SIAMJO
2008
92views more  SIAMJO 2008»
14 years 11 months ago
An Active-Set Newton Method for Mathematical Programs with Complementarity Constraints
For a mathematical program with complementarity constraints (MPCC), we propose an active-set Newton method, which has the property of local quadratic convergence under the MPCC lin...
Alexey F. Izmailov, Mikhail V. Solodov
TC
2008
14 years 11 months ago
Implementing Synchronous Models on Loosely Time Triggered Architectures
Synchronous systems offer clean semantics and an easy verification path at the expense of often inefficient implementations. Capturing design specifications as synchronous models a...
Stavros Tripakis, Claudio Pinello, Albert Benvenis...
TMI
2008
116views more  TMI 2008»
14 years 11 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
JEI
2007
199views more  JEI 2007»
14 years 11 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu