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ERSA
2006
186views Hardware» more  ERSA 2006»
15 years 6 months ago
The Case for High Level Programming Models for Reconfigurable Computers
In this paper we first outline and discuss the issues of currently accepted computational models for hybrid CPU/FPGA systems. Then, we discuss the need for researchers to develop ...
David L. Andrews, Ron Sass, Erik Anderson, Jason A...
FECS
2006
208views Education» more  FECS 2006»
15 years 6 months ago
Integral Learning Pedagogical Technique and Distance Learning applied in Laboratory Classes for Electrical and Computing Enginee
- This paper presents the results of a PhD thesis research, with an innovative proposal for the development of a Technical Laboratory Disciplines in Electrical and Computing Engine...
Paulo Alves Garcia, José Sidnei Colombo Mar...
ALMOB
2006
80views more  ALMOB 2006»
15 years 5 months ago
Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
Grégory Nuel
CGF
2006
128views more  CGF 2006»
15 years 5 months ago
Computing discrete shape operators on general meshes
Discrete curvature and shape operators, which capture complete information about directional curvatures at a point, are essential in a variety of applications: simulation of defor...
Eitan Grinspun, Yotam I. Gingold, Jason Reisman, D...
NC
2006
132views Neural Networks» more  NC 2006»
15 years 4 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu