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» Robust estimation for sparse data
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CVPR
2008
IEEE
14 years 10 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
ICML
2007
IEEE
14 years 9 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
GI
2009
Springer
14 years 11 days ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
AAAI
2012
11 years 11 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 4 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin