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» On the Complexity of Model Expansion
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MP
2006
87views more  MP 2006»
15 years 6 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
IEE
2007
100views more  IEE 2007»
15 years 6 months ago
Designing and constructing modifiable middleware using component frameworks
Because of the increasingly diverse and dynamic environments in which they must operate, modern middleware platforms need to explicitly support modifiability. Modifiability should...
Nikos Parlavantzas, Geoffrey Coulson
NN
2006
Springer
15 years 6 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
PR
2008
131views more  PR 2008»
15 years 6 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
PRL
2008
236views more  PRL 2008»
15 years 6 months ago
LBP-guided active contours
This paper investigates novel LBP-guided active contour approaches to texture segmentation. The Local Binary Pattern (LBP) operator is well suited for texture representation, comb...
Michalis A. Savelonas, Dimitrios K. Iakovidis, Dim...
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