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CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 6 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
ECCV
2000
Springer
14 years 8 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
PICS
2003
13 years 8 months ago
Illuminant Influence on the Reconstruction of NIR Spectra
In order to recover spectral reflectances or transmittances using a multispectral imaging based technique, it is necessary to know the spectral radiance of the illuminant used to ...
Meritxell Vilaseca, Jaume Pujol, Montserrat Arjona...
ICPR
2006
IEEE
14 years 7 months ago
Measurement Function Design for Visual Tracking Applications
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, ...
Andrew W. B. Smith, Brian C. Lovell
ICMLA
2009
13 years 4 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara