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...
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...
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...
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...
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...