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Comparison of Machine Learning Approaches for Tsunami Forecasting from Sparse Observations
We present several different methods for predicting tsunami wave height from GeoClaw runs.
A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization
We present a trust-region algorithm that computes the descent direction with a proximal gradient-like step.
Moreau-Yoshida Regularization and First Order Methods with Firedrake
A run-through of regularization and first order methods for solving the obstacle problem in Firedrake.
Basis Pursuit Denoise with Nonsmooth Constraints
We tried to solve the classic basis-pursuit denoise problem where we enforced sparsity in the solution and the observed data.
Relaxation algorithms for matrix completion, with applications to seismic travel-time data interpolation
We developed a fast, amenable low-rank interpolation technique for travel time tomography data.
CSE 546 Machine Learning Final Project - Identifying Genre by Album Cover
In this project, we attempted to develop an algorithm that will classify an album’s musical genre/style based on the cover art. We pursued a color analysis w...