—In this paper, we present a new technique that uses deterministic binary network coding in a distributed manner to enhance the resiliency of Sensor-to-Base information flow aga...
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...
The class imbalance is a critical problem in classification tasks related to many real world applications. A large number of solutions were proposed in literature, both at the al...
Maria Teresa Ricamato, Claudio Marrocco, Francesco...
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrenc...