1. Courses
  2. CSC454

Pattern Recognition

  • Teacher
    Dr. Saeed ur Rehman
  • Category
    Computing
  • Course Code
    CSC454
  • Session
    Fall 2020

Course Material/Videos

Available Resources
15474 Lecture 1 - Introduction to COurse, class, Outline Video Notes
15475 Lecture 2 - Pattern Recognition, Key terminologies Objectives,Key challenges, Applications, Phases of Pattern Recognition Video Notes
15818 Lecture 3 - Features, Types, Properties of Features etc.. Video Notes
15819 Lecture 4 - Phases of Pattern Recognition Video Notes
15822 Lecture 5 - Classification Code and Example 1 Video Notes
15823 Lecture 6 - Classification and its Starter Code 2 Video Notes
16945 Lecture 7 - Pre processing Video Notes
16946 Lecture 8 - Preprocessing Part 2 Video Notes
16947 Lecture 9 - Filtering Video Notes
16948 Lecture 10 - Edge Detection Video Notes
18921 Lecture 12 - Feature Extraction Video Notes
18922 Lecture 13 - Feature Extraction Continued, Harris Features Video Notes
18923 Lecture 14 - SIFT features, matching, extraction, challenges Video Notes
18926 Lecture 15 - SIFT Continued Video Notes
18927 Lecture 16 - Machine Learning, Types, Training, Testing, Finding ML-estimate, ML-estimates for the Normal Density Video Notes
18928 Lecture 17 - Bayesian Decision theory, example, calculations, prior, posterior, evidence Video Notes
19909 Lecture 18 - Bayes decision theory continued, Classification Error/A Loss Function Video Notes
19910 Lecture 19 - Bayes decision theory, Univariate Gaussian Distribution: the intuition of the discriminant function Video Notes
21693 Lecture 20 - Univariate Gaussian Distribution: the intuition of the discriminant function Video Notes
21694 Lecture 21 - Bayesian Decision theory, multivariate Video Notes
21695 Lecture 22 - Sessional 2 Video Notes
21696 Lecture 23 - Nearest Neighbour Video Notes
21697 Lecture 24 - clustering, k-means clustering Video Notes
21699 Lecture 26 - Curse of Dimensionality, Feature Selection and feature reduction, PCA and LDA Video Notes
21701 Lecture 27 - PCA Video Notes
21702 Lecture 28 - Neural Networks Video Notes

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