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ICCAD
2006
IEEE
111views Hardware» more  ICCAD 2006»
16 years 1 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
15 years 11 months 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 6 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
162
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 5 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
160
Voted
EMNLP
2008
15 years 6 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...