We often encounter situations in supervised learning where there exist possibly groups that consist of more than two parameters. For example, we might work on parameters that correspond to words expressing the same meaning, music pieces in the same genre, and books released in the same year. Based on such auxiliary information, we could suppose that parameters in a group have similar roles in a...

Recently, local descriptors have drawn a lot of attention as a representation method for action recognition. They are able to capture appearance and motion. They are robust to viewpoint and scale changes. They are easy to implement and quick to calculate. Moreover, they have shown to obtain good performance for action classification in videos. Over the last years, many different local spatio-te...

To facilitate more natural interaction with robots, we have been investigating an approach for generating descriptions of objects in a scene, using point cloud models built with the Scale Invariant Feature Transform (SIFT). The 3D models are constructed from 24 images taken from different viewing angles. For each recognized object, the model is placed into an internal representation of the envi...

The instrumental variable (IV) method is one of the most renowned methods for parameter estimation. Its bigger advantage is that it is applicable for open-loop as well as for closed-loop systems. The main difficulty in closed-loop identification is due to the correlation between the disturbances and the control signal induced by the loop. In order to overcome this problem, additional excitation...

Frieder Krumrein: Lindenhof und Geyersburg. Geschichten von Hof Burgruine, den Besitzern Bewohnern. Kultur- Förderverein Rößler-Museum Untermünkheim e. V. 2006. 76 S., zahlreiche Abb.

Humans can perform an enormous number of actions like running, walking, pushing, and punching, them in multiple ways. Hence recognizing a human action from video is challenging task. In supervised learning environment, are first represented using robust features then classifier trained for classification. The selection does affect the performance recognition. This work focuses on comparison two...