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IEEEVAST
2010
14 years 12 months ago
Visually representing geo-temporal differences
Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
ICPR
2006
IEEE
16 years 6 months ago
Transforming Static CT in Gated PET/CT Studies to Multiple Respiratory Phases
Discrepancy between CT and PET data due to motion in PET/CT studies is a significant problem. PET is acquired over a period of time whereas CT is static. Thus attenuation correcti...
Mohammad Dawood, Florian Büther, N. Lang, Xia...
ICML
2009
IEEE
16 years 5 months ago
Unsupervised hierarchical modeling of locomotion styles
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Wei Pan, Lorenzo Torresani
3DIM
2005
IEEE
15 years 10 months ago
Discrete Pose Space Estimation to Improve ICP-Based Tracking
Iterative Closest Point (ICP) -based tracking works well when the interframe motion is within the ICP minimum well space. For large interframe motions resulting from a limited sen...
Limin Shang, Piotr Jasiobedzki, Michael A. Greensp...
131
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PETRA
2010
ACM
15 years 9 months ago
Tracking your steps on the track: body sensor recordings of a controlled walking experiment
Monitoring human motion has recently received great attention and can be used in many applications, such as human motion prediction. We present the collected data set from a body ...
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hol...