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ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 15 days 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
70
Voted
ICASSP
2010
IEEE
14 years 11 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
RAS
2010
216views more  RAS 2010»
14 years 11 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...
81
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Robust rate-maximization game under bounded channel uncertainty
The problem of decentralized power allocation for competitive rate maximization in a frequency-selective Gaussian interference channel is considered. In the absence of perfect kno...
Amod J. G. Anandkumar, Animashree Anandkumar, Sang...
113
Voted
ICIP
2009
IEEE
14 years 10 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi