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» Learning nonlinear dynamic models
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119
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CVPR
2004
IEEE
16 years 2 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
100
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ECML
2005
Springer
15 years 6 months ago
Model Selection in Omnivariate Decision Trees
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
Olcay Taner Yildiz, Ethem Alpaydin
124
Voted
ICASSP
2011
IEEE
14 years 4 months ago
A new video similarity measure model based on video time density function and dynamic programming
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Junfeng Jiang, Xiao-Ping Zhang, Alexander C. Loui
117
Voted
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
15 years 6 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
CCE
2006
15 years 23 days ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...