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DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
14 years 3 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
CGF
2008
121views more  CGF 2008»
13 years 8 months ago
Tensor Clustering for Rendering Many-Light Animations
Rendering animations of scenes with deformable objects, camera motion, and complex illumination, including indirect lighting and arbitrary shading, is a long-standing challenge. P...
Milos Hasan, Edgar Velázquez-Armendá...
ICPR
2004
IEEE
14 years 9 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
NIPS
2007
13 years 10 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
13 years 10 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...