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» Clustering Moving Objects via Medoid Clusterings
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DKE
2010
167views more  DKE 2010»
13 years 5 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
COMCOM
2006
168views more  COMCOM 2006»
13 years 7 months ago
Relay node placement in large scale wireless sensor networks
Scalability and extended lifetime are two critical design goals of any large scale wireless sensor network. A two-tiered network model has been proposed recently for this purpose....
Jian Tang, Bin Hao, Arunabha Sen
IM
2008
13 years 7 months ago
Directed Random Dot Product Graphs
In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of these models with respect to cluster...
Stephen J. Young, Edward R. Scheinerman
TMM
2010
253views Management» more  TMM 2010»
13 years 2 months ago
Multi-View Video Summarization
Previous video summarization studies focused on monocular videos, and the results would not be good if they were applied to multi-view videos directly, due to problems such as the ...
Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuan...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray