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LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 3 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
PATMOS
2000
Springer
14 years 14 days ago
Data-Reuse and Parallel Embedded Architectures for Low-Power, Real-Time Multimedia Applications
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
ECOOPW
1997
Springer
14 years 1 months ago
Semantics Through Pictures
An object-oriented (OO) model has a static component, the set of allowable snapshots or system states, and a dynamic component, the set of filmstrips or sequences of snapshots. Dia...
Stuart Kent, Ali Hamie, John Howse, Franco Civello...
CSDA
2004
88views more  CSDA 2004»
13 years 8 months ago
An evaluation of non-parametric relative risk estimators for disease maps
In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...
Allan B. Clark, Andrew B. Lawson
CVPR
2009
IEEE
14 years 24 days ago
High-quality curvelet-based motion deblurring from an image pair
One promising approach to remove motion deblurring is to recover one clear image using an image pair. Existing dual-image methods require an accurate image alignment between the i...
Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen