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Introduction
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Welcome
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What is optimization
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Experiment
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Setup
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Optimization Problem
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Questions
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Sign permutation symmetry
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Matlab
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Overcomplete dictionaries
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Practice gap
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How can we understand
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Nonconvex optimization
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Local geometry
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Dictionary learning
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Objective function
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Geometric intuition
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Blind Deconvolution
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Local perturbations
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Simulation results
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Theory
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Geometric Theorem
Description:
Explore advanced signal processing concepts in this IEEE Signal Processing Society webinar featuring Prof. John Wright. Delve into optimization techniques, overcomplete dictionaries, and nonconvex optimization as applied to signal processing. Gain insights into dictionary learning, blind deconvolution, and local geometry. Examine practical applications through MATLAB experiments and simulation results. Understand the theoretical foundations with a focus on geometric theorems. Engage with complex topics such as sign permutation symmetry and objective functions in dictionary learning. Benefit from Prof. Wright's expertise as he bridges the gap between theory and practice in modern signal processing optimization techniques.

Optimization in Signal Processing and Machine Learning

IEEE Signal Processing Society
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