Pattern Theory and Applications

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This is the main page of a graduate-level course in pattern theory, machine learning, pattern formation, pattern recognition and computer vision being taught in 2013/1 at the Polytechnic Institute IPRJ/UERJ. It is generally useful for computer scientists, statisticians, and applied mathematicians.

General Info

  • Instructor: prof. Ricardo Fabbri, Ph.D. Brown University
  • Meeting times: Tues 6pm-7:40pm, Weds 5pm - 6:40pm
  • Forum for file exchange and discussion: uerj.tk
  • Evaluation criteria: Final grade = projects (60%), class participation (20%) and reading summaries (20%).


Pre-requisites

  • Undergraduate-level mathematics and probability (will review as needed)

Approximate Content

Main Resources

Textbooks

Lectures

Partial listing & Tentative Outline

  1. Overview of pattern theory and classic pattern recognition

Homework

Keywords

Portuguese: Teoria dos Padrões, Reconhecimento de Padrões, Visão Computacional, Inteligência Artificial, Formação de Padrões