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» Hierarchical Structuring of Data on Manifolds
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VLDB
2005
ACM
104views Database» more  VLDB 2005»
14 years 2 months ago
Approximate Matching of Hierarchical Data Using pq-Grams
When integrating data from autonomous sources, exact matches of data items that represent the same real world object often fail due to a lack of common keys. Yet in many cases str...
Nikolaus Augsten, Michael H. Böhlen, Johann G...
TVCG
2008
136views more  TVCG 2008»
13 years 8 months ago
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...
Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, H...
ICML
2008
IEEE
14 years 9 months ago
Hierarchical sampling for active learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta, Daniel Hsu
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 9 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
JMLR
2010
175views more  JMLR 2010»
13 years 3 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...