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Pattern Recognition and Application
broucher Course Brochure
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...

0.0  (0 Ratings) 913 Learner
validy img Validity Unlimited
level All Level
level English
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Program Fee
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

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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

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    Probability Density Estimation (Contd.)

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    Probability Density Estimation (Contd. )

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    Probability Density Estimation ( Contd.)

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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

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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. )

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Pattern Recognition and Application

RBF Neural Network

| 01h 50min total length
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    RBF Neural Network

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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.)

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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

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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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