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» Clustering Moving Objects via Medoid Clusterings
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KI
2009
Springer
14 years 2 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...
ADC
2004
Springer
147views Database» more  ADC 2004»
14 years 1 months ago
Clustering Moving Objects for Spatio-temporal Selectivity Estimation
Many spatio-temporal applications involve managing and querying moving objects. In such an environment, predictive spatio-temporal queries become an important query class to be pr...
Qing Zhang, Xuemin Lin
KDD
2004
ACM
101views Data Mining» more  KDD 2004»
14 years 1 months ago
Clustering moving objects
Yifan Li, Jiawei Han, Jiong Yang
IPSN
2007
Springer
14 years 1 months ago
Object tracking in the presence of occlusions via a camera network
This paper describes a sensor network approach to tracking a single object in the presence of static and moving occluders using a network of cameras. To conserve communication ban...
Ali Ozer Ercan, Abbas El Gamal, Leonidas J. Guibas
CVPR
2012
IEEE
11 years 10 months ago
Video segmentation by tracing discontinuities in a trajectory embedding
Our goal is to segment a video sequence into moving objects and the world scene. In recent work, spectral embedding of point trajectories based on 2D motion cues accumulated from ...
Katerina Fragkiadaki, Geng Zhang, Jianbo Shi