Dirichlet process
相关论文数: 20
顶级研究者
最高引用论文
Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy
Mark Bangert, Philipp Hennig, Uwe Oelfke
引用数: 34 • 2010
Multimodal categorization by hierarchical dirichlet process
Tomoaki Nakamura, Takayuki Nagai, N. Iwahashi
引用数: 34 • 2011
Towards autonomous habitat classification using Gaussian Mixture Models
Daniel Steinberg, Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba
引用数: 29 • 2010
A nonparametric Bayesian approach toward robot learning by demonstration
Sotirios Chatzis, Dimitrios Korkinof, Yiannis Demiris
引用数: 28 • 2012
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Zhi Wang, Chunlin Chen, Daoyi Dong
引用数: 22 • 2022
Unsupervised Segmentation of Human Motion Data Using a Sticky Hierarchical Dirichlet Process-Hidden Markov Model and Minimal Description Length-Based Chunking Method for Imitation Learning
Tadahiro Taniguchi, Keita Hamahata, Naoto Iwahashi
引用数: 22 • 2011
Analysis of multimodal Bayesian nonparametric autoregressive hidden Markov models for process monitoring in robotic contact tasks
Hongmin Wu, Yisheng Guan, Juan Rojas
引用数: 20 • 2019
Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko
引用数: 15 • 2018
Hierarchical Dirichlet Process Hidden Markov Models for abnormality detection in robotic assembly
Enrico Di Lello, Tinne De Laet, Herman Bruyninckx
引用数: 12 • 2012
Robot introspection with Bayesian nonparametric vector autoregressive hidden Markov models
引用数: 11 • 2017
High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano
引用数: 6 • 2019
Multimodal Hierarchical Dirichlet Process-based Active Perception
Tadahiro Taniguchi, Toshiaki Takano, Ryo Yoshino
引用数: 5 • 2015
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco Cusumano-Towner, Vikash K. Mansinghka
引用数: 5 • 2017
Object tracking via Dirichlet process-based appearance models
Raed Almomani, Ming Dong, Dongxiao Zhu
引用数: 4 • 2016
Small-variance asymptotics for non-parametric online robot learning
Ajay Kumar Tanwani, Sylvain Calinon
引用数: 4 • 2018
Learning from Demonstration Using Variational Bayesian Inference
Mostafa Hussein, Y. Mohammed, Samia A. Ali
引用数: 4 • 2015
Active Exploration for Unsupervised Object Categorization Based on Multimodal Hierarchical Dirichlet Process
Ryo Yoshino, Toshiaki Takano, Hiroki Tanaka, Tadahiro Taniguchi
引用数: 3 • 2021
Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures
Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano‐Pérez
引用数: 3 • 2015
Efficient Clustering for Continuous Occupancy Mapping Using a Mixture of Gaussian Processes
Soohwan Kim, Jonghyuk Kim
引用数: 2 • 2022
Nonparametric Bayesian Line Detection - Towards Proper Priors for Robotic Computer Vision
A.C. van Rossum, Hai Xiang Lin, Johan L. A. Dubbeldam, H.J. van den Herik
引用数: 2 • 2016