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» Modeling Dynamic Textures Using Subspace Mixtures
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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
SC
2009
ACM
14 years 3 months ago
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
CVPR
2010
IEEE
14 years 5 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
VISUALIZATION
1996
IEEE
14 years 26 days ago
Real-Time Incremental Visualization of Dynamic Ultrasound Volumes Using Parallel BSP Trees
We present a method for producing real-time volume visualizations of continuously captured, arbitrarily-oriented 2D arrays (slices) of data. Our system constructs a 3D representat...
William F. Garrett, Henry Fuchs, Mary C. Whitton, ...
FGR
1998
IEEE
142views Biometrics» more  FGR 1998»
14 years 29 days ago
View Alignment with Dynamically Updated Affine Tracking
We propose a framework for fast view alignment using adaptive affine tracking. We address the issue of modelling both shape and texture information in eigenspace for view alignmen...
Fernando De la Torre, Shaogang Gong, Stephen J. Mc...