Completed
Mod-01 Lec-08 Normal Density and Discriminant Function (Contd.)
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Pattern Recognition and Application
Automatically move to the next video in the Classroom when playback concludes
- 1 Mod-01 Lec-01 Introduction
- 2 Mod-01 Lec-02 Feature Extraction - I
- 3 Mod-01 Lec-03 Feature Extraction - II
- 4 Mod-01 Lec-04 Feature Extraction - III
- 5 Mod-01 Lec-05 Bayes Decision Theory
- 6 Mod-01 Lec-06 Bayes Decision Theory (Contd.)
- 7 Mod-01 Lec-07 Normal Density and Discriminant Function
- 8 Mod-01 Lec-08 Normal Density and Discriminant Function (Contd.)
- 9 Mod-01 Lec-09 Bayes Decision Theory - Binary Features
- 10 Mod-01 Lec-10 Maximum Likelihood Estimation
- 11 Mod-01 Lec-11 Probability Density Estimation
- 12 Mod-01 Lec-12 Probability Density Estimation (Contd.)
- 13 Mod-01 Lec-13 Probability Density Estimation (Contd. )
- 14 Mod-01 Lec-14 Probability Density Estimation ( Contd.)
- 15 Mod-01 Lec-15 Probability Density Estimation ( Contd. )
- 16 Mod-01 Lec-16 Dimensionality Problem
- 17 Mod-01 Lec-17 Multiple Discriminant Analysis
- 18 Mod-01 Lec-18 Multiple Discriminant Analysis (Tutorial)
- 19 Mod-01 Lec-19 Multiple Discriminant Analysis (Tutorial )
- 20 Mod-01 Lec-20 Perceptron Criterion
- 21 Mod-01 Lec-21 Perceptron Criterion (Contd.)
- 22 Mod-01 Lec-22 MSE Criterion
- 23 Mod-01 Lec-23 Linear Discriminator (Tutorial)
- 24 Mod-01 Lec-24 Neural Networks for Pattern Recognition
- 25 Mod-01 Lec-25 Neural Networks for Pattern Recognition (Contd.)
- 26 Mod-01 Lec-26 Neural Networks for Pattern Recognition (Contd. )
- 27 Mod-01 Lec-27 RBF Neural Network
- 28 Mod-01 Lec-28 RBF Neural Network (Contd.)
- 29 Mod-01 Lec-29 Support Vector Machine
- 30 Mod-01 Lec-30 Hyperbox Classifier
- 31 Mod-01 Lec-31 Hyperbox Classifier (Contd.)
- 32 Mod-01 Lec-32 Fuzzy Min Max Neural Network for Pattern Recognition
- 33 Mod-01 Lec-33 Reflex Fuzzy Min Max Neural Network
- 34 Mod-01 Lec-34 Unsupervised Learning - Clustering
- 35 Mod-01 Lec-35 Clustering (Contd.)
- 36 Mod-01 Lec-36 Clustering using minimal spanning tree
- 37 Mod-01 Lec-37 Temporal Pattern recognition
- 38 Mod-01 Lec-38 Hidden Markov Model
- 39 Mod-01 Lec-39 Hidden Markov Model (Contd.)
- 40 Mod-01 Lec-40 Hidden Markov Model (Contd. )