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142
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ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 3 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
140
Voted
MVA
2002
254views Computer Vision» more  MVA 2002»
15 years 3 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce
88
Voted
ICASSP
2010
IEEE
15 years 2 months ago
A signal-specific bound for joint tdoa and FDOA estimation and its Use in combining multiple segments
We consider passive joint estimation of the time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) of an unknown signal at two sensors. The classical approac...
Arie Yeredor
121
Voted
JSAC
2010
92views more  JSAC 2010»
15 years 2 months ago
Analysis of Nonlinear Transition Shift and Write Precompensation in Perpendicular Recording Systems
Abstract—In high density perpendicular magnetic recording channels, nonlinear transition shift (NLTS) is one of the distortions that can degrade the system performance. Write pre...
Zheng Wu, Paul H. Siegel, Jack K. Wolf, H. Neal Be...
163
Voted
RAS
2010
216views more  RAS 2010»
15 years 2 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...