Abstract— This paper addresses the problem of localization and map construction by a mobile robot in an indoor environment. Instead of trying to build high-fidelity geometric ma...
Paul E. Rybski, Franziska Zacharias, Jean-Fran&cce...
When new technology is adopted to everyday life, existing patterns of behavior relevant to the application are transferred to this new media. In this process, some things will als...
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability...
Aditi Rathi, Michael DeBole, Weina Ge, Robert T. C...
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...