High-resolution satellite imagery available immediately after disaster e...
A novel method to propagate uncertainty through the soft-thresholding
no...
Machine learning research for developing countries can demonstrate clear...
This paper introduces a new sparse spatio-temporal structured Gaussian
p...
Gaussian process regression is a machine learning approach which has bee...
Video analytics requires operating with large amounts of data. Compressi...
In this paper a new Bayesian model for sparse linear regression with a
s...
Semi-supervised and unsupervised systems provide operators with invaluab...
This paper proposes a novel dynamic Hierarchical Dirichlet Process topic...
A novel dynamic Bayesian nonparametric topic model for anomaly detection...