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» Detecting Uncommon Trajectories
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SAC
2004
ACM
14 years 2 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
GIS
2009
ACM
14 years 10 months ago
On-Line Discovery of Flock Patterns in Spatio-Temporal Data
With the recent advancements and wide usage of location detection devices, large quantities of data are collected by GPS and cellular technologies in the form of trajectories. Whi...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
ICRA
2009
IEEE
108views Robotics» more  ICRA 2009»
14 years 3 months ago
Local decomposition and observability properties for automatic calibration in mobile robotics
Abstract— This paper considers the problem of sensor selfcalibration in mobile robotics by only using a single point feature (e.g. a source of light). In particular, the problem ...
Agostino Martinelli
CDC
2008
IEEE
156views Control Systems» more  CDC 2008»
14 years 3 months ago
Diagnosability of hybrid automata with measurement uncertainty
— We propose a diagnosability notion that depends on two parameters denoted as (δd, δm) for the general class of transition systems where the observable output is given by disc...
Maria Domenica Di Benedetto, Stefano Di Gennaro, A...