Erik Learned-Miller Erik G. Learned-Miller
Professor of Computer Science
University of Massachusetts, Amherst

140 Governors Drive, Office 248
Amherst, MA 01003

Phone: (413) 545-2993
E-mail: elm at cs.umass.edu
Computer Vision Lab

News:

  • New, much tighter confidence intervals for the mean! It is far tighter than so-called envelope methods and uses the same weak set of assumptions. For the first time, it gives useful confidence intervals even when the sample size is small (less than 30).

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Teaching

Fall 2020:
  • CS682: Neural Networks: A Modern Introduction

  • Fall 2019:
  • CS682: Neural Networks: A Modern Introduction

  • Fall 2018:
  • CS682: Neural Networks: A Modern Introduction

  • Spring 2018:
  • CS682: Neural Networks: A Modern Introduction

  • Fall 2017:
  • CS682: Neural Networks: A Modern Introduction
  • NOTE: This is essentially the same course as CS697L, but with a new name and number.

    Fall 2016:
  • CS697L: Deep Learning

  • Fall 2014:
  • CS650: Applied Information Theory

  • Spring 2014:
  • CS370: Introduction to Computer Vision

  • Fall 2013:
  • CS670: Graduate Computer Vision

  • Fall 2012:
  • CS370: Introduction to Computer Vision

  • Spring 2012:
  • CS 121: Introduction to Problem Solving with Computers

  • Fall 2011:
  • CS691A: Graduate Computer Vision

  • Spring 2011:
  • CS370: Introduction to Computer Vision

  • Fall 2010:
  • CS691GG: Applied Information Theory

  • Spring 2010:
  • CS691A: Graduate Computer Vision

  • Fall 2009:
  • CS370: Introduction to Computer Vision

  • Spring 2009:
  • CS 121: Introduction to Problem Solving with Computers

  • Spring 2008:
  • CS 121: Introduction to Problem Solving with Computers

  • Spring 2007:
  • CS 591/691: Computer Vision
  • CS 121: Introduction to Problem Solving with Computers

  • Fall 2006:
  • Computer Science 691GG: Applied Information Theory

  • Spring 2006:
  • Computer Science 591B: Graphics

  • Fall 2005:
  • Learning to See

  • Spring 2005:
  • Computer Vision (with Al Hanson)