We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
This paper addresses the problem of human gait recognition by applying model (in)validation techniques. The main idea is to associate to each class of gaits a nominal model and a ...
Cecilia Mazzaro, Mario Sznaier, Octavia I. Camps, ...
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of hum...
Although the business process community has put a major emphasis on patterns, notably the famous workflow patterns, only limited support for using patterns in today's business...
Abstract. In this article, we propose the use of suffix arrays to efficiently implement n-gram language models with practically unlimited size n. This approach, which is used with ...