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» Clustering Moving Objects via Medoid Clusterings
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ICDE
2007
IEEE
131views Database» more  ICDE 2007»
14 years 2 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
OODBS
2000
110views Database» more  OODBS 2000»
13 years 11 months ago
Opportunistic Prioritised Clustering Framework (OPCF)
Ever since the `early days' of database management systems, clustering has proven to be one of the most effective performance enhancement techniques for object oriented datab...
Zhen He, Alonso Marquez, Stephen Blackburn
DICTA
2003
13 years 9 months ago
Unsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information
Most codecs such as MPEG-1,2 are based on processing pixels in predetermined tiles of square blocks. The processing of each block is independent of the object-based contents that m...
Ofer Miller, Amir Averbuch, Yosi Keller
TIP
2010
181views more  TIP 2010»
13 years 2 months ago
Cluster-Based Distributed Face Tracking in Camera Networks
In this paper, we present a distributed multicamera face tracking system suitable for large wired camera networks. Unlike previous multicamera face tracking systems, our system doe...
Josiah Yoder, Henry Medeiros, Johnny Park, Avinash...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler