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Daniel Eaton
Daniel Eaton
Senior Staff Software Engineer, Google
Verified email at cs.ubc.ca - Homepage
Title
Cited by
Cited by
Year
Interactive robots as social partners and peer tutors for children: A field trial
T Kanda, T Hirano, D Eaton, H Ishiguro
Human–Computer Interaction 19 (1-2), 61-84, 2004
12122004
Object detection and localization using local and global features
K Murphy, A Torralba, D Eaton, W Freeman
Toward category-level object recognition, 382-400, 2006
2312006
Exact Bayesian structure learning from uncertain interventions
D Eaton, K Murphy
Artificial intelligence and statistics, 107-114, 2007
2022007
Bayesian structure learning using dynamic programming and MCMC
D Eaton, K Murphy
arXiv preprint arXiv:1206.5247, 2012
1492012
Reverse-time depth migration with reduced memory requirements
RG McGarry, JA Mahovsky, PP Moghaddam, DS Foltinek, DJ Eaton
US Patent App. 12/231,138, 2010
842010
Industrial-scale reverse time migration on GPU hardware
D Foltinek, D Eaton, J Mahovsky, P Moghaddam, R McGarry
Seg Technical Program Expanded Abstracts 2009, 2789-2793, 2009
672009
Person identification and interaction of social robots by using wireless tags
T Kanda, T Hirano, D Eaton, H Ishiguro
Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and …, 2003
612003
A practical experiment with interactive humanoid robots in a human society
T Kanda, T Hirano, D Eaton, H Ishiguro
Third IEEE International Conference on Humanoid Robots, 2003
392003
Field Experiment in a Science Museum with communication robots and a ubiquitous sensor network
H Ishiguro, M Shiomi, T Kanda, D Eaton, N Hagita
Proc. of Workshop on Network Robot System at ICRA2005, 2005
282005
Belief net structure learning from uncertain interventions
D Eaton, K Murphy
J Mach Learn Res 1, 1-48, 2007
152007
Participation of Interactive Humanoid Robots in Human Society—Application to Foreign Language Education—
T Kanda, T Hirano, D Eaton, H Ishiguro
Journal of the Robotics Society of Japan 22 (5), 636-647, 2004
152004
Bdagl: Bayesian dag learning
D Eaton, K Murphy
2012-05-01]. http://www. cs. ubc. ca/~ murphyk/Software/BDAGL, 2007
112007
Causal learning without DAGs
D Duvenaud, D Eaton, K Murphy, M Schmidt
Causality: Objectives and Assessment, 177-190, 2010
102010
Communication robot for science museum with rfid tags
M Shiomi, T Kanda, D Eaton, H Ishiguro, N Hagita
Journal of the Robotics Society of Japan 24 (4), 489-496, 2006
92006
ユビキタスセンサネットワークと連動したコミュニケーションロボットによる科学館での展示案内
塩見昌裕, 神田崇行, D Eaton, 石黒浩
インタラクション 2005, 127-134, 2005
42005
Towards Category-Level Object Recognition, chapter Object Detection and Localization Using Local and Global Features
K Murphy, A Torralba, D Eaton, W Freeman
LNCS, 2006
22006
Modeling uncertain interventions
K Murphy, D Duvenaud, G Alain, D Eaton
NIPS 2008 Workshop “Causality: Objectives and Assessment”, Whistler, Canada, 2008
12008
Bayesian network structure learning for the uncertain experimentalist: with applications to network biology
DJ Eaton
University of British Columbia, 2007
12007
Answering ‘Where Am I?’by Nonlinear Least Squares
D Eaton
Proc. Int. Conf. on Computer Vision, Beijing, 1-15, 2005
12005
Fitting Gaussian Mixtures by Automatic RJMCMC CPSC535c Course Project
D Eaton
2006
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