Daniel Eaton
Daniel Eaton
Senior Staff Software Engineer, Google
Zweryfikowany adres z cs.ubc.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
10632004
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
2202006
Toward category-level object recognition
J Ponce, M Hebert, C Schmid, A Zisserman
Springer, 2007
1732007
Exact Bayesian structure learning from uncertain interventions
D Eaton, K Murphy
Artificial intelligence and statistics, 107-114, 2007
1692007
Bayesian structure learning using dynamic programming and MCMC
D Eaton, K Murphy
arXiv preprint arXiv:1206.5247, 2012
1342012
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
792010
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
622009
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
602003
A practical experiment with interactive humanoid robots in a human society
T Kanda, T Hirano, D Eaton, H Ishiguro
Procs. 3rd IEEE Int. Conf. Humanoid Robots, 2003
372003
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
272005
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
132004
Belief net structure learning from uncertain interventions
D Eaton, K Murphy
J Mach Learn Res 1, 1-48, 2007
112007
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
102006
Causal learning without DAGs
D Duvenaud, D Eaton, K Murphy, M Schmidt
Causality: Objectives and Assessment, 177-190, 2010
92010
BDAGL: Bayesian DAG learning
D Eaton, K Murphy
2012-05-01]. http://www. cs. ubc. ca/~ murphyk/Software/BDAGL, 2007
92007
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
Object detection
A Torralba, K Murphy, W Freeman, A Torralba, K Murphy, W Freeman, ...
IEEE PAMI 29, 5, 2007
32007
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
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