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Skip to Search Results- 2Convex optimization
- 1Convex multi-layer modeling
- 1Convex two-layer modeling
- 1Matrix rank reduction
- 1Non-Gaussian noise
- 1Robust statistics
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Spring 2017
Most machine learning problems can be posed as solving a mathematical program that describes the structure of the prediction problem, usually expressed in terms of carefully chosen losses and regularizers. However, many machine learning problems yield mathematical programs that are not convex in...
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Fall 2013
An important step of seismic data processing entails signal de-noising. Traditional de-noising methods assume Gaussian noise model and their performance degrades in the presence of erratic (non-Gaussian) noise. This thesis examines the problem of designing reduced-rank noise attenuation...