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» Missing Data Estimation Using Polynomial Kernels
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 11 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 4 months 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 11 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...
ICML
2007
IEEE
16 years 5 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
106
Voted
ICIP
2003
IEEE
16 years 6 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