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Born into a family of architects, Nina Andrejevi? loved creating drawings of her home and other buildings while a child in Serbia. She and her twin sister shared this passion, along with an appetite f...
The future of instrument development necessitates sending out only indispensable information rather than raw data. The new framework of compressive sampling, together with automated data mining, prese...
A new study finds that smartphone apps to track menstrual cycles often disappoint users with a lack of accuracy, assumptions about sexual identity or partners, and an emphasis on pink and flowery form...
In this paper we propose a hierarchical activity clustering methodology which incorporates the use of topological persistence analysis. Our clustering methodology captures the hierarchies present in t...
We describe our experiences with an exception analysis tool for Standard ML. Information about exceptions gathered by the analysis is visualized using pam,a program visualization tool for emacs. We st...
This paper presents an approach for tracking paper documents on the desk over time and automatically linking them to the corresponding electronic documents using an overhead video camera. We demons...
We present Hover Widgets, a new technique for increasing the capabilities of pen-based interfaces. Hover Widgets are implemented by using the pen movements above the display surface, in the trackin...
Binary proximity sensors (BPS) provide extremely low cost and privacy preserving features for tracking mobile targets in smart environment, but great challenges are posed for track-ing multiple target...
Trajectories extracted from an object tracker are a valuable source of information to derive describing parameters for traffic situation analysis. In order to ensure the quality of these paramet...
One of the biggest hurdles to the development of an effective driver state monitor is the that there is no real-time eye-gaze detection. This is primarily due to the fact that such systems require cal...
Recent advances in low-power electronics, energy harvesting, and sensor technologies are poised to revolutionize mobile and embedded computing, by enabling networks of mobile sensor devices that are l...
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
Abstract: Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sam...
A novel level set method based on on-line discriminativeappearance modeling (DAMLSM) is presented for contourtracking. In contrast with traditional level set models whichemphasize the intensity consis...

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