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=== Textbooks ===
=== Textbooks ===
* Main book: "Pattern Theory: The Stochastic Analysis of Real-World Signals" - David Mumford and Agnes Desolneux (see [http://uerj.tk uerj.tk]) http://pixhost.me/avaxhome/3e/3b/001b3b3e_medium.jpeg


=== Lectures ===
=== Lectures ===

Edição das 01h42min de 9 de abril de 2013

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

Course Format

  • Evaluation criteria: Final grade = projects (60%), class participation (20%) and reading summaries (20%)
  • Each student will have a main project to develop throughout the semester
    • There will be mid and final project presentations, each worth 50% of the project grade
  • There will be assigned reading almost every class (papers, book chapters, etc)
    • Readings must be summarized with personal opinions and reflexions and a summary must be typed and handed in
    • Discussion in class will be graded as "class participation"

Pre-requisites

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

Approximate Content

Main Resources

Textbooks

  • Main book: "Pattern Theory: The Stochastic Analysis of Real-World Signals" - David Mumford and Agnes Desolneux (see uerj.tk) 001b3b3e_medium.jpeg

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