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» Computing LTS Regression for Large Data Sets
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KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 5 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
ICDE
1998
IEEE
163views Database» more  ICDE 1998»
16 years 6 months ago
Fast Nearest Neighbor Search in High-Dimensional Space
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search on a large set of high-dimensional points as a basic operation for query process...
Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, H...
135
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CIKM
2009
Springer
15 years 11 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
ICNP
2005
IEEE
15 years 10 months ago
Shape Shifting Tries for Faster IP Route Lookup
Some of the fastest practical algorithms for IP route lookup are based on space-efficient encodings of multi-bit tries [1, 2]. Unfortunately, the time required by these algorithm...
Haoyu Song, Jonathan S. Turner, John W. Lockwood
144
Voted
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 10 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...