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» Modeling Moving Objects over Multiple Granularities
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 9 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
PVLDB
2008
82views more  PVLDB 2008»
13 years 7 months ago
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzal...
CN
2006
112views more  CN 2006»
13 years 7 months ago
Optimal server allocations for streaming multimedia applications on the Internet
In this paper, we address the server selection problem for streaming applications on the Internet. The architecture we consider is similar to the content distribution networks con...
Padmavathi Mundur, Poorva Arankalle
IJMMS
1998
153views more  IJMMS 1998»
13 years 7 months ago
Brahms: simulating practice for work systems design
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
CVPR
2010
IEEE
14 years 2 months ago
Piecewise Planar and Non-Planar Stereo for Urban Scene Reconstruction
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by...
David Gallup, Jan-Michael Frahm, Marc Pollefeys