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» Learning nonlinear dynamic models
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NIPS
1998
15 years 2 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
92
Voted
PGLDB
2003
151views Database» more  PGLDB 2003»
15 years 2 months ago
Web-service-based, Dynamic and Collaborative E-learning
This paper describes an on-going effort to investigate problems and approaches for achieving Web-service-based, dynamic and collaborative e-learning. In this work, a Learning Cont...
Stanley Y. W. Su, Gilliean Lee
BMVC
2001
15 years 3 months ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
Yongmin Li, Shaogang Gong, Heather M. Liddell
CGF
2007
135views more  CGF 2007»
15 years 20 days ago
Prediction of Individual Non-Linear Aging Trajectories of Faces
Represented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for g...
Kristina Scherbaum, Martin Sunkel, Hans-Peter Seid...
109
Voted
CDC
2009
IEEE
225views Control Systems» more  CDC 2009»
15 years 5 months ago
High performance adaptive robust control for nonlinear system with unknown input backlash
—A high performance adaptive robust control (ARC) algorithm is developed for a class of nonlinear system with unknown input backlash, parametric uncertainties and uncertain nonli...
Jian Guo, Bin Yao, Qingwei Chen, Xiaobei Wu