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NIPS
2004
15 years 4 months ago
Kernel Projection Machine: a New Tool for Pattern Recognition
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
Laurent Zwald, Régis Vert, Gilles Blanchard...
126
Voted
UAI
2003
15 years 4 months ago
Learning Riemannian Metrics
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
Guy Lebanon
171
Voted
SIMPRA
2011
14 years 9 months ago
Estimation of linear trend onset in time series
We propose a method to detect the onset of linear trend in a time series and estimate the change point T from the profile of a linear trend test statistic, computed on consecutive...
Vafeiadis Thanasis, Bora-Senta Efthimia, Kugiumtzi...
98
Voted
MMAS
2010
Springer
14 years 9 months ago
Wave Transmission through Random Layering with Pressure Release Boundary Conditions
This paper considers the statistical properties of the waves generated by a point source in the subsurface and transmitted towards the surface through a randomly layered medium. Th...
Josselin Garnier, Knut Sølna
CVPR
2005
IEEE
16 years 4 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers