The first goal of this paper is to empirically explore the relationships between existing object-oriented coupling, cohesion, and inheritance measures and the probability of fault...
In this paper, a comparison between an objective quality measure and the perceived mean annoyance values of watermarked videos is presented. A psychophysical experiment has been p...
Mylene Christine Queiroz de Farias, Marco Carli, S...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
This paper attempts to de ne an object-oriented database system. It describes the main features and characteristics that a system must have to qualify as an objectoriented databas...
Moving object classification in far-field video is a key component of smart surveillance systems. In this paper, we propose a reliable system for person-vehicle classification whi...
Longbin Chen, Rogerio Feris, Yun Zhai, Lisa M. G. ...