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JMLR
2010
115views more  JMLR 2010»
15 years 1 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
CF
2010
ACM
15 years 10 months ago
A communication infrastructure for a million processor machine
: The SpiNNaker machine is a massively parallel computing system, consisting of 1,000,000 cores. From one perspective, it has a place in Flynns' taxonomy: it is a straightforw...
Andrew D. Brown, Steve Furber, Jeff S. Reeve, Pete...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
227
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ICCV
2003
IEEE
16 years 8 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager