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Trajectory Analysis via a Geometric Feature Space Approach.

Conference ·
DOI:https://doi.org/10.1002/sam.11287· OSTI ID:1319635

Abstract not provided.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1319635
Report Number(s):
SAND2014-15008C; 534370
Resource Relation:
Journal Volume: 8; Journal Issue: 5-6; Conference: Proposed for presentation at the CoDA 2014 held February 5-7, 2014 in Santa Fe, NM, US.
Country of Publication:
United States
Language:
English

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Multi-feature trajectory clustering using Earth Mover's Distance conference August 2011
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Multidimensional binary search trees used for associative searching journal September 1975
Atypical event and typical pattern detection within complex systems conference January 2005
Using Relative Distance and Hausdorff Distance to Mine Trajectory Clusters journal January 2013
Robust and fast similarity search for moving object trajectories conference January 2005
R-trees: a dynamic index structure for spatial searching conference January 1984

Cited By (3)