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» Modeling the variability of architectural patterns
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CORR
2008
Springer
69views Education» more  CORR 2008»
14 years 12 months ago
Solving Time of Least Square Systems in Sigma-Pi Unit Networks
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Pierre Courrieu
ANCS
2009
ACM
14 years 9 months ago
A NFA-based programmable regular expression match engine
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...
Derek Pao
ASPDAC
2004
ACM
107views Hardware» more  ASPDAC 2004»
15 years 5 months ago
Interconnect capacitance estimation for FPGAs
Abstract—The dynamic power consumed by a digital CMOS circuit is directly proportional to capacitance. In this paper, we consider pre-routing capacitance estimation for FPGAs and...
Jason Helge Anderson, Farid N. Najm
PR
2010
147views more  PR 2010»
14 years 10 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
CAISE
2004
Springer
15 years 5 months ago
Ontology for Characterising Architecture Frameworks
This paper outlines an ontology for characterising architecture frameworks. The ontology is based on the metamodel of MAF, and is currently being tried out on a set of well-known e...
Oddrun Pauline Ohren