Concepedia

Erik B. Sudderth

EB

Statistics

Publications

59

Citations

4.5K

H-Index

33

Active since

2000

Affiliations

Massachusetts Institute of Technology(Current)

Brown University

University of California, Berkeley

John Brown University

University of California, Irvine

Erik B. Sudderth is an author at Massachusetts Institute of Technology specializing in engineering, data science, and machine vision.

Top concepts

EngineeringData ScienceComputer ScienceComputer VisionMachine VisionMachine LearningImage AnalysisPattern RecognitionStatisticsDeep Learning

Publications per year

2000–2019

59

Publications

59

Nonparametric belief propagation

Erik B. Sudderth, Alexander Ihler, William T. Freeman et al. · 2003 · 417 citations

Geometric Learning, Engineering, Machine Learning +20

Learning hierarchical models of scenes, objects, and parts

Erik B. Sudderth, Antonio Torralba, William T. Freeman et al. · 2005 · 302 citations

Scene Analysis, Engineering, Machine Learning +17

An HDP-HMM for systems with state persistence

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al. · 2008 · 271 citations

Engineering, Machine Learning, State Persistence +20

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al. · IEEE Transactions on Signal Processing · 2011 · 235 citations · Full text

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al. · ScholarlyCommons (University of Pennsylvania) · 2008 · 177 citations · Full text

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