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06/03/2022
Robotic Planning under Uncertainty in Spatiotemporal Environments in Expeditionary Science
In the expeditionary sciences, spatiotemporally varying environments – h...
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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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11/20/2020
Lightweight Data Fusion with Conjugate Mappings
We present an approach to data fusion that combines the interpretability...
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11/13/2020
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking
Robust data association is critical for analysis of long-term motion tra...
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02/09/2018
Information Planning for Text Data
Information planning enables faster learning with fewer training example...
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01/27/2018
Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm
Modern vehicles are equipped with increasingly complex sensors. These se...
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01/27/2018
Adaptive Scan Gibbs Sampler for Large Scale Inference Problems
For large scale on-line inference problems the update strategy is critic...
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09/18/2017
Direction-Aware Semi-Dense SLAM
To aide simultaneous localization and mapping (SLAM), future perception ...
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09/04/2017
A Nonparametric Model for Multimodal Collaborative Activities Summarization
Ego-centric data streams provide a unique opportunity to reason about jo...
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03/15/2016
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures
Point cloud alignment is a common problem in computer vision and robotic...
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10/30/2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
This paper presents a methodology for creating streaming, distributed in...
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10/09/2015
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
Data augmentation is a key element in training high-dimensional models. ...
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05/16/2012