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DAC
1994
ACM
15 years 1 months ago
Performance Analysis and Optimization of Schedules for Conditional and Loop-Intensive Specifications
This paper presents a new method,based on Markov chain analysis, to evaluate the performance of schedules of behavioral specifications. The proposed performance measure is the expe...
Subhrajit Bhattacharya, Sujit Dey, Franc Brglez
NIPS
2004
14 years 11 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
15 years 2 months ago
Visually Built Task Models for Robot Teams in Unstructured Environments
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create t...
Vivek A. Sujan, Steven Dubowsky
CEC
2010
IEEE
14 years 11 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
15 years 11 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas