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Variational analysis
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#	Item
21	Optimization in Image Processing Workshop Program Monday, June 27 9:30-10:20 Joachim Weickert, Saarland University Title: “FSI Schemes: Fast Semi-Iterative Methods for Diffusive or Variational Image Add to Reading List Source URL: cmsa.fas.harvard.edu Language: English - Date: 2016-06-28 13:47:36 Image processing Signal processing Mathematical optimization Operations research Electrical engineering Convex analysis Mathematics Mathematical analysis Deconvolution Iterative reconstruction Convex optimization Inverse problem
22	Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Markov models Machine learning Artificial intelligence Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Forward algorithm Mixture model Speech recognition Cluster analysis K-means clustering
23	SPECIAL SESSIONSpecial Session 58: Variational Analysis and Equilibrium Problems Patrizia Daniele, Department of Mathematics and Computer Science - University of Catania, Italy Add to Reading List Source URL: www.aimsciences.org Language: English - Date: 2012-06-23 07:34:54 Calculus of variations Partial differential equations Dynamical systems Variational inequality Mathematical optimization Projected dynamical system Obstacle problem Complementarity theory Anna Nagurney Non-equilibrium thermodynamics Variational analysis Differential variational inequality
24	HVX: Disciplined Convex Programming and Symbolic Subdifferentiation in Haskell Chris Copeland 1 Add to Reading List Source URL: www.scs.stanford.edu Language: English - Date: 2014-06-12 03:57:46 Convex analysis Mathematical optimization Convex optimization Operations research Variational analysis Subgradient method Subderivative Ellipsoid method Convex function Generalized algebraic data type Convex set Map
25	Abstracts of MMA2014, May, 2014, Druskininkai, Lithuania c VGTU, 2014 B−1 -CONVEX FUNCTIONS AND SOME IMPORTANT PROPERTIES Add to Reading List Source URL: inga.vgtu.lt Language: English - Date: 2014-06-02 02:47:50 Partial differential equations Convex analysis Mathematical optimization Variational analysis Convex function Differential equation Variational inequality Interpolation Finite difference operator
26	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function
27	247 Eurographics/ ACM SIGGRAPH Symposium on Computer AnimationA. Bargteil and M. van de Panne (Editors) Asynchronous Integration with Phantom Meshes David Harmon† , Qingnan Zhou, and Denis Zorin Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2011-08-14 17:42:47 Computational chemistry Molecular dynamics Numerical analysis Scientific modeling Ordinary differential equations Variational integrator Geometric integrator Numerical methods for ordinary differential equations Integrator Finite element method Lagrangian mechanics Energy drift
28	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
29	Nonlinear Wavelet Image Processing: Variational Problems, Compression, and Noise Removal through Wavelet Shrinkage∗ Antonin Chambolle1 , Ronald A. DeVore2 , Nam-yong Lee3 , and Bradley J. Lucier4 Abstract This paper ex Add to Reading List Source URL: www.math.purdue.edu Language: English - Date: 1998-08-26 14:45:18 Functional analysis Signal processing Timefrequency analysis Wavelet Dual space Craig interpolation Haar wavelet Linear temporal logic Differential forms on a Riemann surface

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