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Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
28 May 2013
Trevor Campbell
Miao Liu
Brian Kulis
Jonathan P. How
Lawrence Carin
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Papers citing
"Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture"
12 / 12 papers shown
Title
Bayesian nonparametric shared multi-sequence time series segmentation
O. Mikheeva
Ieva Kazlauskaite
Hedvig Kjellström
Carl Henrik Ek
AI4TS
49
0
0
27 Jan 2020
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
OffRL
141
176
0
24 Oct 2019
Inference for multiple object tracking: A Bayesian nonparametric approach
Bahman Moraffah
VOT
41
11
0
16 Sep 2019
Search and Rescue under the Forest Canopy using Multiple UAVs
Yulun Tian
Katherine Liu
Kyel Ok
L. Tran
Danette Allen
Nicholas Roy
Jonathan P. How
102
111
0
28 Aug 2019
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
255
519
0
04 May 2018
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models
Trevor Campbell
Brian Kulis
Jonathan P. How
84
13
0
26 Jul 2017
Socially Aware Motion Planning with Deep Reinforcement Learning
Yu Fan Chen
Michael Everett
Miao Liu
Jonathan P. How
112
683
0
26 Mar 2017
Dynamic Arrival Rate Estimation for Campus Mobility on Demand Network Graphs
Justin Miller
Andres Hasfura
Shih‐Yuan Liu
Jonathan P. How
54
21
0
06 Mar 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
280
595
0
26 Sep 2016
Small-Variance Nonparametric Clustering on the Hypersphere
Julian Straub
Trevor Campbell
Jonathan P. How
John W. Fisher III
68
33
0
21 Jul 2016
Towards combinatorial clustering: preliminary research survey
Mark Sh. Levin
34
10
0
28 May 2015
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective
Rick Zhang
Marco Pavone
98
386
0
16 Apr 2014
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