We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
The paper studies the problem of reachability for linear systems in the presence of uncertain input disturbances that may also be interpreted as the action of an adversary in a ga...
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
For languages with (semi-) free word order (such as German), labelling grammatical functions on top of phrase-structural constituent analyses is crucial for making them interpreta...
Wolfgang Seeker, Ines Rehbein, Jonas Kuhn, Josef v...
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...