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» Scaling Clustering Algorithms to Large Databases
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CVPR
2009
IEEE
15 years 3 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
14 years 19 days ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
ICCV
2009
IEEE
15 years 1 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir
BMCBI
2007
116views more  BMCBI 2007»
13 years 8 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 8 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter