For time-dependent scalar fields, one is often interested in topology changes of contours in time. In this paper, we focus on describing how contours split and merge over a certa...
In statistical pattern recognition, it is important to estimate true distribution of patterns precisely to obtain high recognition accuracy. Normal mixtures are sometimes used for...
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...