Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
In silico (on the computer) oncology is a multi-disciplinary field that focuses on the examination and modeling of biological mechanisms related to the phenomenon of cancer. In si...
Theodoros E. Athanaileas, Georgios S. Stamatakos, ...
The need to manage diverse information sources has triggered the rise of very loosely structured data models, known as "dataspace models." Such information management sy...
George H. L. Fletcher, Jan Van den Bussche, Dirk V...
This paper defines PolyAML, a typed functional, aspect-oriented programming language. The main contribution of PolyAML is the seamless integration of polymorphism, run-time type a...
Daniel S. Dantas, David Walker, Geoffrey Washburn,...