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ICDE
2012
IEEE
237views Database» more  ICDE 2012»
11 years 11 months ago
On Discovery of Traveling Companions from Streaming Trajectories
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...
PODS
2009
ACM
119views Database» more  PODS 2009»
14 years 10 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
IBPRIA
2005
Springer
14 years 2 months ago
Solving Particularization with Supervised Clustering Competition Scheme
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
Oriol Pujol, Petia Radeva
CVPR
1998
IEEE
14 years 11 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 3 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...