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11/10/2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks
Learning in uncertain, noisy, or adversarial environments is a challengi...
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03/03/2021
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
This paper presents a scalable deep learning approach for short-term tra...
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11/02/2019
Variational Bayesian inference of hidden stochastic processes with unknown parameters
Estimating hidden processes from non-linear noisy observations is partic...
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02/18/2019
Structural Recurrent Neural Network for Traffic Speed Prediction
Deep neural networks have recently demonstrated the traffic prediction c...
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11/29/2018
Uncertainty propagation in neural networks for sparse coding
A novel method to propagate uncertainty through the soft-thresholding no...
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07/23/2018
A Capsule Network for Traffic Speed Prediction in Complex Road Networks
This paper proposes an approach for vehicular spatio-temporal characteri...
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07/15/2018
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors
This paper introduces a new sparse spatio-temporal structured Gaussian p...
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07/09/2018
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning
Gaussian process regression is a machine learning approach which has bee...
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04/27/2017
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences
Video analytics requires operating with large amounts of data. Compressi...
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04/27/2017
Structured Sparse Modelling with Hierarchical GP
In this paper a new Bayesian model for sparse linear regression with a s...
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02/01/2017
Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing
The design of sparse spatially stretched tripole arrays is an important ...
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11/02/2016
Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis
Semi-supervised and unsupervised systems provide operators with invaluab...
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06/27/2016
Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video
This paper proposes a novel dynamic Hierarchical Dirichlet Process topic...
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06/27/2016
Anomaly detection in video with Bayesian nonparametrics
A novel dynamic Bayesian nonparametric topic model for anomaly detection...
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03/29/2016
Compressive Sensing Based Design of Sparse Tripole Arrays
This paper considers the problem of designing sparse linear tripole arra...
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09/21/2015
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation
In this paper, we look to address the problem of estimating the dynamic ...
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06/04/2013
