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ICCAD
2006
IEEE
111views Hardware» more  ICCAD 2006»
16 years 3 months ago
State re-encoding for peak current minimization
In a synchronous finite state machine (FSM), huge current peaks are often observed at the moment of state transition. Previous low power state encoding algorithms focus on the red...
Shih-Hsu Huang, Chia-Ming Chang, Yow-Tyng Nieh
IAT
2006
IEEE
16 years 13 days ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
NIPS
2003
15 years 7 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 6 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
EMNLP
2008
15 years 7 months ago
Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...