We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
Local aspects of Web search -- associating Web content and queries with geography -- is a topic of growing interest. However, the underlying question of how spatial variation is m...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar, Jasm...
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
Abstract. We have recently witnessed a growing interest in self organising systems, both in research and in practice. These systems re-organise in response to new or changing condi...
Stefanos Zachariadis, Cecilia Mascolo, Wolfgang Em...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...