We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
In this paper, we generalize the classical windowed Fourier transform (WFT) to quaternionvalued signals, called the quaternionic windowed Fourier transform (QWFT). Using the spect...
Mawardi Bahri, Eckhard S. M. Hitzer, Ryuichi Ashin...
This paper presents a framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow. The framework uses mu...