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09/16/2022
A Deep Moving-camera Background Model
In video analysis, background models have many applications such as back...
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04/19/2022
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis
In the realm of unsupervised learning, Bayesian nonparametric mixture mo...
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03/27/2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters
Deep Learning (DL) has shown great promise in the unsupervised task of c...
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03/25/2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models – and a Deep-learning Solution
The Dirichlet Process Gaussian Mixture Model (DPGMM) is often used to cl...
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02/27/2022
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
Practical tools for clustering streaming data must be fast enough to han...
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05/18/2020
Effective Learning of a GMRF Mixture Model
Learning a Gaussian Mixture Model (GMM) is hard when the number of param...
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10/09/2015