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ICANN
2009
Springer
14 years 3 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
CVPR
2003
IEEE
15 years 26 days ago
Simultaneous Estimation of Left Ventricular Motion and Material Properties with Maximum a Posteriori Strategy
In addition to its technical merits as a challenging non-rigid motion and structural integrity analysis problem, quantitative estimation of cardiac regional functions and material...
Huafeng Liu, Pengcheng Shi
CVPR
2006
IEEE
14 years 4 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...
JNW
2006
81views more  JNW 2006»
13 years 10 months ago
A Noble Fuzzy-based Mobile Tracking Scheme
In this study, we propose a novel mobile tracking method based on Multi-Criteria Decision Making (MCDM), in which uncertain parameters such as Pilot Signal Strength (PSS), the dist...
Soo Chang Kim, Jong Chan Lee, Yeon-Seung Shin
ICIP
2004
IEEE
15 years 13 days ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...