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» Computational data modeling for network-constrained moving o...
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SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
15 years 1 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
MLDM
2007
Springer
15 years 5 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
91
Voted
ICCV
2001
IEEE
16 years 1 months ago
Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects
We introduce new small-motion multi-frame equations applicable to the reconstruction of dynamic scenes in which points are allowed to move along straight-line paths with constant ...
Amnon Shashua, Anat Levin
111
Voted
DASFAA
2008
IEEE
116views Database» more  DASFAA 2008»
15 years 1 months ago
MBR Models for Uncertainty Regions of Moving Objects
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects ...
Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu...
103
Voted
CVPR
2010
IEEE
15 years 8 months ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga