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Introduction to Pattern Recognition

Contains the practical work developed in the course of Introduction to Pattern Recognition, which is given as an elective of the Computer Science career at the Technological Institute of Costa Rica.

Table of contents

  1. Algebra Review
  2. Probability
  3. Preprocessing
  4. Principal Components Analysis for Face Recognition
  5. Optical Flow
  6. Classifiers
  7. Kittler Thresholding Algorithm
  8. Perceptron
  9. Neural Networks
  10. Not found

Semester II - 2018

This repository is incompleted and it will be updated