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ISBI
2009
IEEE
14 years 3 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski
CVPR
2012
IEEE
11 years 11 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
TNN
1998
132views more  TNN 1998»
13 years 8 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
INFOCOM
2007
IEEE
14 years 3 months ago
Toward Tractable Computation of the Capacity of Multi-Hop Wireless Networks
— By posing the problem of bandwidth allocation as a constrained maximization problem, it is possible to study various features of optimal bandwidth allocation, and hence the cap...
Stephan Bohacek, Peng Wang
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 3 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth