Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Improving classification accuracy is a key issue to advancing brain computer interface (BCI) research from laboratory to real world applications. This article presents a high accu...
Chng Eng Siong, Cuntai Guan, Jiankang Wu, M. Thula...
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...
— This paper presents a self-positioning system for the mobile robot. The proposed positioning system consists of a stereo setup of two ODVs (Omni-Directional Vision) for obtaini...
Various powerful people detection methods exist. Surprisingly,
most approaches rely on static image features
only despite the obvious potential of motion information for
people ...
Christian Wojek (TU Darmstadt), Stefan Walk (TU Da...