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» Missing Data Estimation Using Polynomial Kernels
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92
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 7 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
VLSISP
2008
93views more  VLSISP 2008»
15 years 12 days ago
Performance and Energy Consumption Improvements in Microprocessor Systems Utilizing a Coprocessor Data-Path
The speedups and the energy reductions achieved in a generic single-chip microprocessor system by employing a high-performance data-path are presented. The data-path acts as a copr...
Michalis D. Galanis, Gregory Dimitroulakos, Costas...
IJCNN
2007
IEEE
15 years 6 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misï¬t using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
108
Voted
ICML
2007
IEEE
16 years 1 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
71
Voted
ICIP
2003
IEEE
16 years 2 months ago
A Bayesian framework for recursive object removal in movie post-production
Some of the most convincing film and video effects are created in digital post-production by removing apparatus that supports or manipulates actors and objects. Wires and people, ...
Anil C. Kokaram, Bill Collis, Simon Robinson