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* Meeting times: Tues 6pm-7:40pm, Weds 5pm - 6:40pm
* Meeting times: Tues 6pm-7:40pm, Weds 5pm - 6:40pm
* Forum for file exchange and discussion: [http://uerj.tk uerj.tk]
* Forum for file exchange and discussion: [http://uerj.tk uerj.tk]
* Evaluation criteria:  Final grade = projects (60%), class participation (20%) and reading summaries (20%).
 
=== 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"





Edição das 01h38min 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

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