Varuna C. Banduseela, Julien Ochala, Yi-Wen Chen, Hanna Göransson, Holly Norman, Peter Radell, Lars I. Eriksson, Eric P. Hoffman, and Lars Larsson Department of Clinical Neurophysiology, Uppsala University Hospital, Uppsala, Sweden; Research Center for Genetic Medicine, Children National Medical Center; Department of Pediatrics, The George Washington University Medical Center, Washington, Distr...

Lars Harms-Ringdahl has a degree in Electrical Engineering from the Royal Institute of Technology in Stockholm, Sweden, where he also received his doctoral degree. He works at the Institute for Risk management and Safety analysis in Stockholm. His research is mainly directed at methodologies to prevent accidents and similar problems. Many of the projects have a focus on industrial and occupatio...

Most augmented reality toolkits require special markers to be used. In our system any designated object in the environment can be used instead of special markers. Furthermore, our system was designed to work with low contrast surfaces (such as the wrinkles on the hands of the users). We used a constellation of maximally discriminative salient points derived from the environment to position a 3D...

We summarize 5 years of continuous monitoring of accretion-powered pulsars with the Burst and Transient Source Experiment (BATSE) on the Compton Gamma Ray Observatory. Our 20È70 keV observations have determined or reÐned the orbital parameters of 13 binaries, discovered Ðve new transient accreting pulsars, measured the pulsed Ñux history during outbursts of 12 transients (GRO J1744[28, 4U 0115]...

Soft Systems Methodology (SSM) is a framework for the exploration of ideas, beliefs, and assumptions about human activities, and it offers an innovative and effective approach to many of the problems and challenges involved in organizational learning. The underlying understanding of human activities as transformations is, however, for many of the practical purposes of IS organizations too limit...

Being able to reliably, and automatically, select variables in linear regression models is a notoriously difficult problem. This research attacks this question head on, introducing not only a computationally efficient algorithm and method, LARS (and its derivatives), but at the same time introducing comprehensive theory explaining the intricate details of the procedure as well as theory to guid...

Team Leader: Ra ul Rojas ( ollege professor) Team Members: Sven Behnke (s ienti sta ): general design Lars Knipping (s ienti sta ): behavior ontrol Bernhard Frots hl (s ienti sta ): web site, me hani s A him Liers (s ienti sta , did not attend ompetition): ele troni s Wolf Lindstrot (student): behavior ontrol Mark Simon (student): omputer vision, user interfa e Kirill Koule hov (student): beha...

Low anterior resection syndrome (LARS) is the distressful defecatory functional problem after sphincter-saving surgery for rectal cancer. Although symptoms of fecal urgency, frequency, and incontinence may develop in most patients surgery, there no definitive treatments LARS. Multifactorial etiologies various risk factors have been identified, but reduction storage capacity rectum one main reas...

Abstract We investigate multiple testing and variable selection using the Least Angle Regression (LARS) algorithm in high dimensions under assumption of Gaussian noise. LARS is known to produce a piecewise affine solution path with change points referred as knots path. The key our results an expression closed form exact joint law $K$-tuple conditional on variables selected by LARS, so-called po...