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» Measuring Component Adaptation
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TMI
1998
181views more  TMI 1998»
15 years 4 months ago
Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation
Abstract— The adaptive contrast enhancement (ACE) algorithm, which uses contrast gains (CG’s) to adjust the highfrequency components of images, is a well-known technique for me...
Dah-Chung Chang, Wen-Rong Wu
ENTCS
2007
190views more  ENTCS 2007»
15 years 4 months ago
Modelling Multicast QoS Routing by using Best-Tree Search in And-or Graphs and Soft Constraint Logic Programming
We suggest a formal model to represent and solve the multicast routing problem in multicast networks. To attain this, we model the network adapting it to a weighted and-or graph, ...
Stefano Bistarelli, Ugo Montanari, Francesca Rossi...
IJCV
2008
157views more  IJCV 2008»
15 years 4 months ago
Pairwise Matching of 3D Fragments Using Cluster Trees
Abstract We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented point...
Simon Winkelbach, Friedrich M. Wahl
CIKM
2010
Springer
15 years 3 months ago
Brown dwarf: a P2P data-warehousing system
In this demonstration we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data. Deployed on any number of commodity ...
Katerina Doka, Dimitrios Tsoumakos, Nectarios Kozi...
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 3 months ago
Fractionally Predictive Spiking Neurons
Recent experimental work has suggested that the neural firing rate can be interpreted as a fractional derivative, at least when signal variation induces neural adaptation. Here, ...
Sander M. Bohte, Jaldert O. Rombouts