Cache hierarchies have been traditionally designed for usage by a single application, thread or core. As multi-threaded (MT) and multi-core (CMP) platform architectures emerge and...
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Although there have been several attempts to create grid systems, there is no clear definition for grids. In this paper, a formal approach is presented for defining elementary func...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...