Search Results for author: Rebecca M. Willett

Found 5 papers, 0 papers with code

Learning Single Index Models in High Dimensions

no code implementations30 Jun 2015 Ravi Ganti, Nikhil Rao, Rebecca M. Willett, Robert Nowak

Single Index Models (SIMs) are simple yet flexible semi-parametric models for classification and regression.

General Classification Vocal Bursts Intensity Prediction

Sparse Linear Regression With Missing Data

no code implementations28 Mar 2015 Ravi Ganti, Rebecca M. Willett

This paper proposes a fast and accurate method for sparse regression in the presence of missing data.

regression Stochastic Optimization

Tracking Dynamic Point Processes on Networks

no code implementations29 Aug 2014 Eric C. Hall, Rebecca M. Willett

Recent work on online learning in dynamic environments is leveraged not only to exploit the dynamics within the underlying network, but also to track the network structure as it evolves.

Point Processes

Online Optimization in Dynamic Environments

no code implementations23 Jul 2013 Eric C. Hall, Rebecca M. Willett

High-velocity streams of high-dimensional data pose significant "big data" analysis challenges across a range of applications and settings.

Point Processes Texture Classification

Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction

no code implementations26 Jun 2013 Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

This paper describes a coded aperture and keyed exposure approach to compressive video measurement which admits a small physical platform, high photon efficiency, high temporal resolution, and fast reconstruction algorithms.

Optical Flow Estimation Video Reconstruction

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