Pattern Theory and Applications
De Pontão Nós Digitais
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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
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
- Overview of pattern theory and classic pattern recognition
Homework
Keywords
Portuguese: Teoria dos Padrões, Reconhecimento de Padrões, Visão Computacional, Inteligência Artificial, Formação de Padrões