This paper presents a set of geometric signature features for offline automatic signature
verification based on the description of the signature envelope and the interior stroke …

Human action recognition in video is often approached by means of sequential probabilistic
models as they offer a natural match to the temporal dimension of the actions. However …

In this paper we present a method for computing the localization of a mobile robot with
reference to a learning video sequence. The robot is first guided on a path by a human …

Cyber-physical systems (CPS) consist of software and physical components which are
knitted together and interact with each other continuously. CPS have been targets of security …

Automatic speech recognition has been an active research topic for more than four decades.
With the advent of digital computing and signal processing, the problem of speech …

A Hidden Markov Model (HMM) Toolbox within the Matlab environment is presented. In this
toolbox, the conventional techniques for the continuous and discrete HMM are developed for …

In this paper, we propose an ensemble method based on hidden Markov models (HMMs) for
speech recognition. Our objective is to reduce the impact of the initial setting of training …

Human action recognition is often addressed by use of latent-state models such as the
hidden Markov model and similar graphical models. As such models require Expectation …

Abstract Saklı Markov Modelleri, Markov Zincirleri üzerine kurulu bir yapıya sahiptir. Markov
Zincirleri özellikle üretim kontrol, pazarlama, imalat, finans sektörü ve marka bağımlılığı gibi …

Abstract The Selectively Reliable Multicast Protocol (SRMP) provides an approach to
reliable multicast that is specialized to distributed virtual simulation. SRMP operates in three …