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ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
15 years 6 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
ICDAR
2003
IEEE
15 years 2 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
61
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 10 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ICCAD
2009
IEEE
106views Hardware» more  ICCAD 2009»
14 years 7 months ago
Quantifying robustness metrics in parameterized static timing analysis
Process and environmental variations continue to present significant challenges to designers of high-performance integrated circuits. In the past few years, while much research has...
Khaled R. Heloue, Chandramouli V. Kashyap, Farid N...
IPPS
2006
IEEE
15 years 3 months ago
Automatic application-specific microarchitecture reconfiguration
Applications for constrained embedded systems are subject to strict time constraints and restrictive resource utilization. With soft core processors, application developers can cu...
Shobana Padmanabhan, Ron K. Cytron, Roger D. Chamb...