The evaluation of a large implemented natural language processing system involves more than its application to a common performance task. Such tasks have been used in the message u...
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
2 Computational Theory The processing of biological specimens or the 2.1 Overview examination of material surfaces for quality control requires a fast and precise autofocus system....
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...