Author:Tesfaye, T; Sithole, Bishop B; Ramjugernath, DDate:Jun 2018Deep Learning has become a common applied technique to improve results in a variety of detection scenarios, including Synthetic Aperture Radar ship detection. One of the most common Deep Learning techniques, Convolutional Neural Networks, ...Read more
Author:Van der Walt, Christiaan M; Barnard, EDate:Feb 2017Estimating the joint probability density function of a dataset is a central task in many machine learning applications. In this work we address the fundamental problem of kernel bandwidth estimation for variable kernel density estimation in ...Read more
Author:Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP; Mdakane, Lizwe W; Meyer, Rory GVDate:Jul 2016Efficient and effective ship discrimination across multiple Synthetic Aperture Radar sensors is becoming more important as access to SAR data becomes more widespread. A flexible means of separating ships from sea is ideal and can be accomplished ...Read more
Author:Lourens, Roger L; Patra, A; Hassim, Luqmaan; Sima, Faheem; Moodley, Avashlin; Sharma, PDate:Dec 2018We present a conversational model to apprise users with limited access to computational resources about water quality and real-time accessibility for a given location. We used natural language understanding through neural embedding driven ...Read more