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» Rank-aware clustering of structured datasets
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CVPR
2008
IEEE
14 years 7 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
FQAS
2004
Springer
126views Database» more  FQAS 2004»
13 years 11 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 6 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
EDBT
2008
ACM
112views Database» more  EDBT 2008»
14 years 5 months ago
Ownership protection of shape datasets with geodesic distance preservation
Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of da...
Michail Vlachos, Claudio Lucchese, Deepak Rajan, P...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
13 years 11 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...