The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Abstract. An accurate analysis of a large dynamic system like our oceans requires spatially fine and temporally matched data collection methods. Current methods to estimate fish st...
Sadahiro Iwamoto, Mohan M. Trivedi, David M. Check...
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Double-sided manuscripts are often degraded by bleedthrough interference. Such degradation must be corrected to facilitate human perception and machine recognition. Most approache...