We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
- This paper performs analysis and design of latches and flip-flops while considering the effect of event upsets caused by energetic particle hits. First it is shown that the conve...
This paper proposes a document image binarization method, which is especially robust to the images degraded by uneven light condition, such as the camera captured document images....
This paper presents a novel approach for skew correction of documents. Skew correction is modelled as an optimization problem, and for the first time, Particle Swarm Optimization...