We present a hybrid classification method applicable to gesture recognition. The method combines elements of Hidden Markov Models (HMM) and various Dynamic Programming Alignment (...
A sensor network consists of sensing devices which may exchange data through wireless communication. A particular feature of sensor networks is that they are highly energy constrai...
Luca Becchetti, Peter Korteweg, Alberto Marchetti-...
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Computer users deal with large amount of personal media data and they often face problems in managing and exploring them. The paper presents an innovative approach, Semantic Regio...
In this paper, the computation of likelihood of block motion candidates is considered. The method is based on the evaluation of the sum of squared differences (SSD) measure for lo...