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127
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ICIAP
2005
ACM
16 years 2 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
131
Voted
ADC
2006
Springer
135views Database» more  ADC 2006»
15 years 8 months ago
Using a temporal constraint network for business process execution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, the technology continues to face challenges i...
Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan...
156
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JITECH
2010
160views more  JITECH 2010»
14 years 9 months ago
Social software for business process modeling
Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborati...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
111
Voted
FGCS
2006
113views more  FGCS 2006»
15 years 2 months ago
Performance feature identification by comparative trace analysis
This work introduces a method for instrumenting applications, producing execution traces, and visualizing multiple trace instances to identify performance features. The approach p...
Daniel P. Spooner, Darren J. Kerbyson
ICIP
2002
IEEE
16 years 4 months ago
Application of support vector machines classifiers to visual speech recognition
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
Mihaela Gordan, Constantine Kotropoulos, Apostolos...