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» Learning nonlinear dynamic models
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ATAL
2008
Springer
15 years 5 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
147
Voted
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
15 years 9 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
148
Voted
CVPR
2005
IEEE
16 years 5 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
136
Voted
IPMI
2007
Springer
16 years 4 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
121
Voted
SCALESPACE
2009
Springer
15 years 10 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...