In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Amodelisasimplifiedrepresentationofanaspect of the world for a specific purpose. In complex systems, many aspects are to be handled, from architectural aspects to dynamic behavior,...
We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for acquiring a dynamically changing topic model that represents the relationship between vid...
Abstract. There have been many widely used genome rearrangement models, such as reversals, HannenhalliPevzner, and double-cut and join. Though each one can be precisely defined, t...
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...