Z Moghaddam, M Piccardi - IEEE Transactions on Automation …, 2013 - ieeexplore.ieee.org
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 …