Erik B. Sudderth
Erik B. Sudderth
Professor of Computer Science, UC Irvine
uci.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Nonparametric belief propagation and facial appearance estimation
EB Sudderth, AT Ihler, WT Freeman, AS Willsky
805*2002
Nonparametric belief propagation
EB Sudderth, AT Ihler, WT Freeman, AS Willsky
IEEE Conference on Computer Vision & Pattern Recognition, 605-612, 2003
569*2003
A sticky HDP-HMM with application to speaker diarization
EB Fox, EB Sudderth, MI Jordan, AS Willsky
The Annals of Applied Statistics, 1020-1056, 2011
462*2011
Learning hierarchical models of scenes, objects, and parts
EB Sudderth, A Torralba, WT Freeman, AS Willsky
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
4082005
An HDP-HMM for systems with state persistence
EB Fox, EB Sudderth, MI Jordan, AS Willsky
Proceedings of the 25th international conference on Machine learning, 312-319, 2008
3162008
Nonparametric belief propagation
EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky
Communications of the ACM 53 (10), 95-103, 2010
2992010
Describing visual scenes using transformed objects and parts
EB Sudderth, A Torralba, WT Freeman, AS Willsky
International Journal of Computer Vision 77 (1-3), 291-330, 2008
2262008
Graphical models for visual object recognition and tracking
EB Sudderth
Massachusetts Institute of Technology, 2006
2262006
Visual hand tracking using nonparametric belief propagation
EB Sudderth, MI Mandel, WT Freeman, AS Willsky
2004 Conference on Computer Vision and Pattern Recognition Workshop, 189-189, 2004
2252004
Bayesian nonparametric inference of switching dynamic linear models
E Fox, EB Sudderth, MI Jordan, AS Willsky
IEEE Transactions on Signal Processing 59 (4), 1569-1585, 2011
2092011
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in neural information processing systems 21, 457-464, 2008
2072008
Shared segmentation of natural scenes using dependent Pitman-Yor processes
E Sudderth, M Jordan
Advances in neural information processing systems 21, 1585-1592, 2008
2042008
Describing visual scenes using transformed dirichlet processes
A Torralba, A Willsky, E Sudderth, W Freeman
Advances in neural information processing systems 18, 1297-1304, 2005
1872005
Sharing features among dynamical systems with beta processes
E Fox, M Jordan, E Sudderth, A Willsky
Advances in neural information processing systems 22, 549-557, 2009
1592009
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
D Sun, E Sudderth, M Black
Advances in Neural Information Processing Systems 23, 2226-2234, 2010
1302010
Layered segmentation and optical flow estimation over time
D Sun, EB Sudderth, MJ Black
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1768-1775, 2012
1252012
Efficient multiscale sampling from products of Gaussian mixtures
AT Ihler, EB Sudderth, WT Freeman, AS Willsky
Advances in Neural Information Processing Systems, 1-8, 2004
1032004
Embedded trees: Estimation of Gaussian processes on graphs with cycles
EB Sudderth, MJ Wainwright, AS Willsky
IEEE Transactions on Signal Processing 52 (11), 3136-3150, 2004
1002004
Learning multiscale representations of natural scenes using Dirichlet processes
JJ Kivinen, EB Sudderth, MI Jordan
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
992007
Truly nonparametric online variational inference for hierarchical Dirichlet processes
M Bryant, E Sudderth
Advances in Neural Information Processing Systems 25, 2699-2707, 2012
962012
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Makaleler 1–20