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ICML
2006
IEEE
16 years 7 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...
221
Voted
JMLR
2006
124views more  JMLR 2006»
15 years 6 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
GPC
2007
Springer
16 years 29 days ago
Server-Side Parallel Data Reduction and Analysis
Abstract. Geoscience analysis is currently limited by cumbersome access and manipulation of large datasets from remote sources. Due to their data-heavy and compute-light nature, th...
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...
SSDBM
2010
IEEE
248views Database» more  SSDBM 2010»
15 years 12 months ago
Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences
Science is becoming data-intensive, requiring new software architectures that can exploit resources at all scales: local GPUs for interactive visualization, server-side multi-core ...
Keith Grochow, Bill Howe, Mark Stoermer, Roger S. ...
CIDM
2011
IEEE
14 years 10 months ago
Partial generalized correlation for hyperspectral data
Abstract—A variational approach is proposed for the unsupervised assessment of attribute variability of high-dimensional data given a differentiable similarity measure. The key q...
Marc Strickert, Bjorn Labitzke, Volker Blanz