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JOT
2007
94views more  JOT 2007»
13 years 7 months ago
A Typing Scheme for Behavioural Models
State machines can be used to specify the behaviour of objects in a system by describing the relationships between the states of the object and its ability to respond to events pr...
Ashley T. McNeile, Nicholas Simons
ASPDAC
2000
ACM
83views Hardware» more  ASPDAC 2000»
14 years 2 days ago
A new approach to assembly software retargeting for microcontrollers
A new approach is proposed to translate existing software programs from one instruction set to other instruction sets at the level. The behaviors of instructions are abstractly re...
Ing-Jer Huang, Dao-Zhen Chen
ICML
2009
IEEE
14 years 8 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
CODES
2010
IEEE
13 years 5 months ago
Worst-case performance analysis of synchronous dataflow scenarios
Synchronous Dataflow (SDF) is a powerful analysis tool for regular, cyclic, parallel task graphs. The behaviour of SDF graphs however is static and therefore not always able to ac...
Marc Geilen, Sander Stuijk
TACAS
1998
Springer
105views Algorithms» more  TACAS 1998»
13 years 12 months ago
Verification of Large State/Event Systems Using Compositionality and Dependency Analysis
A state/event model is a concurrent version of Mealy machines used for describing embedded reactive systems. This paper introduces a technique that uses compositionality and depend...
Jørn Lind-Nielsen, Henrik Reif Andersen, Ge...