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» Sequential Diagnosis by Abstraction
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GRC
2010
IEEE
13 years 8 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
ASPDAC
2001
ACM
107views Hardware» more  ASPDAC 2001»
13 years 11 months ago
An efficient solution to the storage correspondence problem for large sequential circuits
Abstract- Traditional state-traversal-basedmethods for verifying sequential circuits are computationally infeasible for circuits with a large number of memory elements. However, if...
Wanlin Cao, D. M. H. Walker, Rajarshi Mukherjee
INFOSCALE
2006
ACM
14 years 1 months ago
A library of constructive skeletons for sequential style of parallel programming
Abstract— With the increasing popularity of parallel programming environments such as PC clusters, more and more sequential programmers, with little knowledge about parallel arch...
Kiminori Matsuzaki, Hideya Iwasaki, Kento Emoto, Z...
AMDO
2008
Springer
13 years 9 months ago
Inverse Kinematics Using Sequential Monte Carlo Methods
Abstract. In this paper we propose an original approach to solve the Inverse Kinematics problem. Our framework is based on Sequential Monte Carlo Methods and has the advantage to a...
Nicolas Courty, Elise Arnaud
ECOOP
2004
Springer
14 years 1 months ago
Sequential Object Monitors
Abstract. Programming with Java monitors is recognized to be difficult, and potentially inefficient due to many useless context switches induced by the notifyAll primitive. This pa...
Denis Caromel, Luis Mateu, Éric Tanter