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ICONIP
2007
15 years 8 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ICONIP
2007
15 years 8 months ago
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory m...
Byron M. Yu, John P. Cunningham, Krishna V. Shenoy...
ICASSP
2010
IEEE
15 years 7 months ago
An efficient particle filtering technique on the Grassmann manifold
Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
Quentin Rentmeesters, Pierre-Antoine Absil, Paul V...
218
Voted
ENTCS
2006
151views more  ENTCS 2006»
15 years 7 months ago
Stochastic Simulation Methods Applied to a Secure Electronic Voting Model
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
Jeremy T. Bradley, Stephen T. Gilmore
180
Voted
PKDD
2010
Springer
131views Data Mining» more  PKDD 2010»
15 years 5 months ago
Flu Detector - Tracking Epidemics on Twitter
Abstract. We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illness (ILI) in several regions of the United Kingdom using the contents...
Vasileios Lampos, Tijl De Bie, Nello Cristianini