Media Storage Type : DVD-ROM
NPTEL Course Name : Pattern Recognition
NPTEL Subject Matter Expert : Dr. K.Vijayarekha
NPTEL Co-ordinating Institute : IIT Madras
NPTEL Lecture Count : 38
Lecture Titles:
Lecture 1 - Basic concepts - 1
Lecture 2 - Basic concepts - 2
Lecture 3 - Basic concepts - 3
Lecture 4 - Structure of typical pattern recognition System
Lecture 5 - Role of decision functions in pattern recognition
Lecture 6 - Linear and generalized decision functions
Lecture 7 - Concept of pattern space and weight space
Lecture 8 - Geometric properties
Lecture 9 - Implementation of decision functions
Lecture 10 - Feature vectors
Lecture 11 - Feature spaces
Lecture 12 - Feature Selection and Feature Extraction
Lecture 13 - Distance measures - 1
Lecture 14 - Distance measures - 2
Lecture 15 - Clustering transformation and feature ordering
Lecture 16 - Feature selection through entropy minimization
Lecture 17 - Pattern classification by distance functions
Lecture 18 - Minimum distance classification
Lecture 19 - Cluster and cluster seeking algorithms
Lecture 20 - Max- Min Distance method
Lecture 21 - C- means Iterative Algorithm
Lecture 22 - Pattern classification using Statistical classifiers
Lecture 23 - Bayesï¾’ classifier
Lecture 24 - Classification performance measures
Lecture 25 - Risk and error probabilities
Lecture 26 - Fuzzy and crisp classification
Lecture 27 - Fuzzy Pattern Recognition
Lecture 28 - Syntactic pattern recognition
Lecture 29 - Selection of primitives
Lecture 30 - Introduction to Artificial Neural Network
Lecture 31 - Neural network structures for PR
Lecture 32 - Neural network based pattern associators
Lecture 33 - Feed forward networks trained by back propagation
Lecture 34 - Application of pattern recognition problem for classification of citrus fruit images
Lecture 35 - Selection of primitives for classification of citrus fruit images
Lecture 36 - Segmentation of citrus fruit images
Lecture 37 - Feature Extraction
Lecture 38 - Surface defect classification of citrus fruit images