We perform a detailed study of various crosstalk scenarios in VDSM technologies by using a distributed model of the crosstalk site and make a number of key observations about the ...
We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
This paper describes an “experiential” learning approach to teaching a foundational course on Computer Networking. In additional to the traditional laboratory sessions and ana...
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...