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Pattern Recognition and Application
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Pattern Recognition and Application
by Prof P K Biswas

Pattern recognition is the automated recognition of patterns and regularities in data. Pattern recognition is closely related to artificial intelligence and machine learning,[1] together with applications such as data mining and knowledge discovery in databases (KDD), and is often used interchangeably with these terms. However, these are distinguis...

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FREE
About This Course

Pattern recognition is the automated recognition of patterns and regularities in data. Pattern recognition is closely related to artificial intelligence and machine learning,[1] together with applications such as data mining and knowledge discovery in databases (KDD), and is often used interchangeably with these terms. However, these are distinguis...

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Course Curriculum
25 Sections | 40 Lecture | 36h 32min total length
Expand all sections
Pattern Recognition and Application

Introduction

| 59min 43sec total length
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    Introduction

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Pattern Recognition and Application

Feature Extraction - I

| 59min 43sec total length
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    Feature Extraction - I

    59m <?php echo $alt; ?>
Pattern Recognition and Application

Feature Extraction - II

| 59min 33sec total length
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    Feature Extraction - II

    59m <?php echo $alt; ?>
Pattern Recognition and Application

Feature Extraction - III

| 56min 29sec total length
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    Feature Extraction - III

    56m <?php echo $alt; ?>
Pattern Recognition and Application

Bayes Decision Theory

| 01h 56min total length
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    Bayes Decision Theory

    57m <?php echo $alt; ?>
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    Bayes Decision Theory (Contd.)

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Pattern Recognition and Application

Normal Density and Discriminant Function

| 01h 51min total length
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    Normal Density and Discriminant Function

    52m <?php echo $alt; ?>
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    Normal Density and Discriminant Function (Contd.)

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Pattern Recognition and Application

Bayes Decision Theory - Binary Features

| 51min 47sec total length
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    Bayes Decision Theory - Binary Features

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Pattern Recognition and Application

Maximum Likelihood Estimation

| 54min 17sec total length
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    Maximum Likelihood Estimation

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Pattern Recognition and Application

Probability Density Estimation

| 04h 41min total length
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    Probability Density Estimation

    56m <?php echo $alt; ?>
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    Probability Density Estimation (Contd.)

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    Probability Density Estimation (Contd. )

    53m <?php echo $alt; ?>
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    Probability Density Estimation ( Contd.)

    56m <?php echo $alt; ?>
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    Probability Density Estimation ( Contd. )

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Pattern Recognition and Application

Dimensionality Problem

| 57min 38sec total length
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    Dimensionality Problem

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Pattern Recognition and Application

Multiple Discriminant Analysis

| 02h 45min total length
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    Multiple Discriminant Analysis

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    Multiple Discriminant Analysis (Tutorial)

    54m <?php echo $alt; ?>
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    Multiple Discriminant Analysis (Tutorial )

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Pattern Recognition and Application

Perceptron Criterion

| 01h 48min total length
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    Perceptron Criterion

    54m <?php echo $alt; ?>
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    Perceptron Criterion (Contd.)

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Pattern Recognition and Application

MSE Criterion

| 54min 12sec total length
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    MSE Criterion

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Pattern Recognition and Application

Linear Discriminator (Tutorial)

| 58min 35sec total length
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    Linear Discriminator (Tutorial)

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Pattern Recognition and Application

Neural Networks for Pattern Recognition

| 01h 57min total length
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    Neural Networks for Pattern Recognition

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    Neural Networks for Pattern Recognition (Contd.)

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    Neural Networks for Pattern Recognition (Contd. )

    52m <?php echo $alt; ?>
Pattern Recognition and Application

RBF Neural Network

| 01h 50min total length
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    RBF Neural Network

    57m <?php echo $alt; ?>
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    RBF Neural Network (Contd.)

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Pattern Recognition and Application

Support Vector Machine

| 55min 10sec total length
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    Support Vector Machine

    55m <?php echo $alt; ?>
Pattern Recognition and Application

Hyperbox Classifier

| 01h 50min total length
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    Hyperbox Classifier

    53m <?php echo $alt; ?>
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    Hyperbox Classifier (Contd.)

    56m <?php echo $alt; ?>
Pattern Recognition and Application

Fuzzy Min Max Neural Network for Pattern Recognition

| 55min 27sec total length
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    Fuzzy Min Max Neural Network for Pattern Recognition

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Pattern Recognition and Application

Reflex Fuzzy Min Max Neural Network

| 54min 16sec total length
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    Reflex Fuzzy Min Max Neural Network

    54m <?php echo $alt; ?>
Pattern Recognition and Application

Unsupervised Learning -Clustering

| 53min 46sec total length
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    Unsupervised Learning - Clustering

    53m <?php echo $alt; ?>
Pattern Recognition and Application

Clustering (Contd.)

| 52min 42sec total length
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    Clustering (Contd.)

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Pattern Recognition and Application

Clustering using minimal spanning tree

| 56min 52sec total length
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    Clustering using minimal spanning tree

    56m <?php echo $alt; ?>
Pattern Recognition and Application

Temporal Pattern Recognition

| 56min 05sec total length
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    Temporal Pattern recognition

    56m <?php echo $alt; ?>
Pattern Recognition and Application

Hidden Markov Model

| 02h 54min total length
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    Hidden Markov Model

    55m <?php echo $alt; ?>
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    Hidden Markov Model (Contd.)

    59m <?php echo $alt; ?>
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    Hidden Markov Model (Contd. )

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show 22 more sections
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