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Pattern Recognition and Applic..
Lecture# 22
'MSE Criterion' Video Lecture
MSE Criterion
Course
:
Pattern Recognition and Application
Discipline
:
Electronics and Communication Engineering
Faculty
: Prof. P.K. Biswas
Institute
:
IIT Kharagpur
MSE Criterion
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Pattern Recognition and Application (Electronics and Communication Engineering)
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Prof. P.K. Biswas
from
IIT Kharagpur
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Course
:
Pattern Recognition and Application
Discipline
:
Electronics and Communication Engineering
Faculty
: Prof. P.K. Biswas
Institute
:
IIT Kharagpur
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Linear Discriminator (Tutorial)
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Course Video Lectures
Introduction
Feature Extraction - I
Feature Extraction - II
Feature Extraction - III
Bayes Decision Theory
Bayes Decision Theory (Contd.)
Normal Density and Discriminant Function
Normal Density and Discriminant Function (Con..
Bayes Decision Theory - Binary Features
Maximum Likelihood Estimation
Probability Density Estimation
Probability Density Estimation (Contd.)
Probability Density Estimation (Contd. )
Probability Density Estimation ( Contd.)
Probability Density Estimation ( Contd. )
Dimensionality Problem
Multiple Discriminant Analysis
Multiple Discriminant Analysis (Tutorial)
Multiple Discriminant Analysis (Tutorial )
Perceptron Criterion
Perceptron Criterion (Contd.)
MSE Criterion
Linear Discriminator (Tutorial)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition (Cont..
Neural Networks for Pattern Recognition (Cont..
RBF Neural Network
RBF Neural Network (Contd.)
Support Vector Machine
Hyperbox Classifier
Hyperbox Classifier (Contd.)
Fuzzy Min Max Neural Network for Pattern Reco..
Reflex Fuzzy Min Max Neural Network
Unsupervised Learning - Clustering
Clustering (Contd.)
Clustering using minimal spanning tree
Temporal Pattern recognition
Hidden Markov Model
Hidden Markov Model (Contd.)
Hidden Markov Model (Contd. )
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