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Ph. D. Candidate of Applied Mathematics |
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Blake Hunter |
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Travel |
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Data mining and high-dimensional data analysis Harmonic Analysis Laplacian Eigenfunctions of Diffusion Processes Digital signal and image processing Random Processes and Queueing Theory |
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Research Areas |
TalksMath Department - Student Run Seminar - Low dimensional embedding with compressed, incomplete and inaccurate measurements - UC Davis - Apr 2011 CCMS Colloquium - Low dimensional embedding with compressed, incomplete and inaccurate measurements - Claremont McKenna College - Mar 2011 Research Group - Low dimensional embedding with compressed, incomplete and inaccurate measurements - UCLA - Mar 2011 AMS MAA Joint Mathematics Meetings - The General, Irreducible Three and Four-State Markov Process (with A. Krinik* and L. Harbottle, California State Polytechnic University, Pomona) - New Orleans, LA - Jan 2011 AAAI - Manifold Learning and its Applications (sparsity and compressive sensing) - Compressed Spectral Clustering - Arlington, VA - Nov 2010 ACM Conference on Information and Knowledge Management Knowledge Management - Performance Analysis of Compressive Spectral Clustering - Toronto, Canada - Oct 2010 AMS Western Section Meeting Special Session on Mathematical Models of Random Phenomena - Compressed Diffusion Maps - UCLA - Oct 2010 ICNAAM Sparse Approximation and Compressed Sensing - Performance Analysis of Compressive Spectral Clustering - Rhodes, Greece - Sept 2010 IPAM - Mathematics of Knowledge and Search Engines - Compressive Spectral Clustering - Lake Arrowhead CA - June 2009 AMS Western Section Meeting Stochastic Analysis and Applications - Compressed Diffusion Maps - UC Riverside - Nov 2009 IPAM - Mathematics of Knowledge and Search Engines - Exploring the world of MR brain images via Harmonic Analysis - Lake Arrowhead CA - June 2009 SIAM Student Research Conference Exploring the world of MR brain images via Diffusion Maps - Davis CA - May 2008 Advanced Image Processing and Analysis - Normalized Cuts and Image Segmentation - UC Davis - April 2008 Qualifying Exam Talk - Diffusion Based Clustering - March 2008 Student Run Seminar - Diffusion Based Clustering - UC Davis - Feb 2008 IPAM - Mathematics of Knowledge and Search Engines - Diffusion Based Clustering - Dec 2007 AMS and MAA joint conference - AMS Session on Probability and Statistics Gambler's Ruin with Catastrophes and Windfalls - Hunter (UC Davis), Krinik, Nguyen, Switkes and von Bremen, (Cal Poly Pomona) New Orleans, LA - January 2007 Masters Thesis Defense - Gambler's Ruin and the three state Markov Process - Pomona CA - July 2005
Conferences / WorkshopsAAAI - Manifold Learning and its Applications (sparsity and compressive sensing) - Compressed Spectral Clustering - Arlington, VA - Nov 2010 NIPS - Manifolds, sparsity, and structured models Vancouver, B.C., Canada - Dec 7 - 12, 2009 SAMPTA - Sampling Theory and Applications Marseilles France - May 18 - 22, 2009 IPAM - Mathematics in Brain Imaging UCLA - July 14 - 25, 2008 Asilomar Conference - Signals, Systems and Computers Pacific Grove CA- Oct 26 - 29, 2008 SIAM - Imaging Science Confrence San Diego, CA - July 7 - 11, 2008 IPAM - Mathematics of Knowledge and Search Engines UCLA - Sept 10 - Dec 14, 2007 IPAM - Sparse Representations and High Dimensional Geometry UCLA - May, 2007 Lawrence Livermore National Laboratory - Signal and Imaging Sciences Workshop LLNL - Nov 2006
TutorialsIPAM - Research in Industrial Projects for Students UCLA - Los Angles, CA - June 2010 Linear Algebra - singular value decomposition Compressed Sensing - sparsity, l-1 minimization, OMP Machine Learning - clustering, classification, SVM, regression Convex Optimization - KKT conditions, primal/dual, regularization, kernel methods Matlab - Tutorial |
