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ECML
2004
Springer
15 years 8 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
133
Voted
BMCBI
2010
182views more  BMCBI 2010»
15 years 3 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
137
Voted
ICML
2006
IEEE
16 years 4 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
320
Voted
EGPGV
2011
Springer
330views Visualization» more  EGPGV 2011»
14 years 6 months ago
Real-Time Ray Tracer for Visualizing Massive Models on a Cluster
We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal model...
Thiago Ize, Carson Brownlee, Charles D. Hansen
IEEEPACT
2007
IEEE
15 years 9 months ago
Fast Track: Supporting Unsafe Optimizations with Software Speculation
The use of multi-core, multi-processor machines is opening new opportunities for software speculation, where program code is speculatively executed to improve performance at the a...
Kirk Kelsey, Chengliang Zhang, Chen Ding