Media Storage Type : DVD-ROM
NPTEL Course Name : Pattern Recognition
NPTEL Subject Matter Expert : Prof. V. Susheela Devi
NPTEL Co-ordinating Institute : IISc Bangalore
NPTEL Lecture Count : 42
Lecture Titles:
Lecture 1 - Background
Lecture 2 - Introduction
Lecture 3 - Statistical Pattern Recognition
Lecture 4 - Different Representation Schemes
Lecture 5 - Tree-Based Representations
Lecture 6 - Dissimilarity Measures
Lecture 7 - Distance Between Pattern Collections
Lecture 8 - Fisher’s Discriminant
Lecture 9 - Principal Components as Features
Lecture 10 - Branch and Bound Schemes
Lecture 11 - Sequential Feature Selection
Lecture 12 - Nearest Neighbour Classifier
Lecture 13 - Soft Nearest Neighbour Classifiers
Lecture 14 - Efficient Nearest Neighbour Classifier
Lecture 15 - Ordered Partitions
Lecture 16 - Minimal Distance Classifier
Lecture 17 - Condensed Nearest Neighbour Classifier
Lecture 18 - Modified Condensed Nearest Neighbour Classifier
Lecture 19 - Bayes Classifier
Lecture 20 - Naive Bayes Classifier
Lecture 21 - Bayesian Belief Networks
Lecture 22 - Introduction to Decision Trees
Lecture 23 - Construction of Decision Trees
Lecture 24 - Axis-Parallel and Oblique Decision Trees
Lecture 25 - Learning Decision Trees
Lecture 26 - Introduction to Discriminant Functions
Lecture 27 - Characterization of the Decision Boundary
Lecture 28 - Learning the Discriminant Function
Lecture 29 - Introduction to Support Vector Machines
Lecture 30 - Training Support Vector Machines
Lecture 31 - What is Clustering?
Lecture 32 - Representation of Patterns and Clusters
Lecture 33 - Clustering Process
Lecture 34 - Clustering Algorithms
Lecture 35 - Incremental Clustering
Lecture 36 - Divide-and-Conquer Clustering
Lecture 37 - Introduction to Combining Classifiers
Lecture 38 - AdaBoost for Classification
Lecture 39 - Schemes for Combining Classifiers
Lecture 40 - Combination of Homogeneous Classifiers
Lecture 41 - Document Processing
Lecture 42 - Document Classification and Retrieval