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Poster Session
Once again the Norbert Wiener Center will be hosting a poster session on the first day of the conference. The poster session will be held on Thursday, February 18, 2016. It will take place from 5:00pm-6:15pm in the rotunda of the Mathematics building.
We are pleased to feature the following research posters at the 2016 February Fourier Talks:
Armenak Petrosyan, Vanderbilt
Iterative Systems of Vectors
Anna Ma, Claremont
Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz method
Tina Woolf, Claremont
Stochastic Greedy Methods with Sparse Constraints
Tingran Gao, Duke
Horizontal Laplacian and the Diffusion Geometry of Fibre Bundles
Joakim Anden, Princeton
Estimating noise power spectra in a low-rank noise model
Rujie Yin, Duke
Construction of Orthonormal Directional Wavelets based on quincunx dilation subsampling
Elham Sakhaee, University of Florida
Sparse Partial Derivatives and Reconstruction from Partial Fourier Data
Hassan Mohy-ud-Din, Yale
Quantitative myocardial perfusion PET parametric imaging at the voxel-level
Christopher Kennedy, UT Austin
Fast Cross-Polytope Hashing via Johnson Lindenstrauss Embeddings
Ayush Bhandari, MIT
A Swiss Army Knife for Sparse Sampling Theory
Josiah Park, USF
Generalied Phase Retrieval: Isometries in Vector Spaces
Rachel Yin, Duke
Construction of Orthonormal Directional Wavelets based on quincunx dilation subsampling
Sam Scholze, TAMU
Encoding Frame Protected Reconstruction from Frame Erasures
Soledad Villar, UT Austin
Fast certificates for clustering optimality using convex programming
Jen Dumiak, Leo Brody, and Brian Dizio, American
Topological Data Quality Assessment for Sonar Targets and Homological Features for Sonar Target Classification
Ankit Parekh, NYU
Enhanced Low-Rank Matrix Approximation
Haizhao Yang, Stanford and Yingzhou Li, Duke
Butterfly Factorization
Chang-Hsin Lee, Vanderbilt
General Error Bounds of Consistent Reconstruction and Rangan-Goyal Algorithm
Calvin Hotchkiss, Iowa State
A Fast Fourier Transform for Fractal Approximations
Kyle Michael Bowman, UNC, Wilmington
Numerical Methods and the Finite Balian-Low Conjecture
Bubacarr Bah, UT Austin
The sample complexity of weighted sparse approximation
Cihan Bilge Kayasandik, University of Houston
A multiscale geometric descriptor for the automated extraction of somas in fluorescent images of neurons
Joseph Woodworth, UCLA
Compressed Sensing Recovery via Nonconvex Shrinkage Penalties
Ke Yin, UCLA
Compressed Wannier modes for imperfect crystals
Sam Potter , UMD
A Periodic FMM-based Nonuniform FFT
Tara Shreve and David D'Auria American
Validation of Angle Estimation Filters for Ocean Wave Spectra
Farhad Pourkamali Anaraki, UC, Boulder
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
Farhad Pourkamali Anaraki, UC, Boulder
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
Wei-Hsuan, Michigan State
There are no 76 equiangular lines in R^19
wjliao, Duke
Adaptive geometric multi-resolution analysis for high-dimensional data
Olga Orlova, UNM
On approximation properties of generalized (Kantorovich-type) sampling operators.
Cheng Cheng, UCF
Spatially Distributed Sampling and Reconstruction
JeremyTrageser, GW
A nonlocal biharmonic operator and its connections to the classical operator
Michael Northington, Vanderbilt
Sharp Uncertainty Principles for Shift-Invariant Spaces
Marilyn Vazquez, GMU
Diffusion Maps for Image Segmentation
Li Chen, UDC
Mathematical problems in data science
Katherine Cordwell and Mark Magsino, University of Maryland
On Constant Amplitude Zero Autocorrelation Sequences of length p
Abbas Kazemipour, University of Maryland
Sampling Requirements of Stable Autoregressive Estimation
Sui Tang, Vanderbilt
The exact reconstruction of an evolving signal from the incomplete information of its current and future states
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