Analog to Digital Conversion – needs for A/D conversion A/D conversion is a sampling from the perspective of Pattern Recognition which goal is to gather sensed data from samples and …

Read More »## Data Reduction – Classification and need of Data Reduction

Data Reduction is the transformation of data into a corrupted, ordered and simplified form. Classification of Data Reduction techniques Data cube aggregation ➢ Aggregation operations are applied to the data …

Read More »## Dimension Reduction Dimensionalily Reduction

Dimension Reduction Dimensionalily Reduction A dimension denotes a measurement of a certain aspect of an object. Other names for dimension are attribute or feature or variable names in a data …

Read More »## Pattern Recognition tasks and examples

Pattern Recognition tasks and examples Two types of pattern recognition tasks are available. Supervised Pattern Recognition: If training data is available and the model has prior known information. Examples: Fingerprint …

Read More »## Why Naive Bayes Classifier is special?

Naive Bayes Classifier is special Naive Bayes Classifier are a family of simple ‘Probabilistic Classifier’ based on applying Bayes Theorem with strong (naive) independence assumptions between the features. It is …

Read More »## Gaussian Distribution applications

Gaussian Distribution applications Gaussian functions are broadly used in image processing Gaussian distribution is used for various signal processing Gaussian functions are used to define Artificial Neural Network (ANN) Gaussian …

Read More »## EM- Expectation maximization algorithm and applications

EM- Expectation maximization algorithm and applications EM algorithm is an iterative method for finding maximum likelihood or Maximum A Posteriri (MAP) extimates of parameters in statistical models where the models …

Read More »## Viterbi algorithm and applications

Viterbi algorithm and applications Viterbi algorithm is a dynamic programming algorithm that is used to find the most likely state transition in a state diagram by giving a noisy sequence …

Read More »## Fuzzy logic vs Boolean logic

Fuzzy logic vs Boolean logic Fuzzy logic is the superset of boolean logic whereas boolean logic is the subset of fuzzy logic. Boolean sets have two valued logic, true or …

Read More »## Fuzzy Logic characteristics and application

Fuzzy Logic – its characteristics and application Fuzzy logic is form of many valued logic or probabilistic logic that deals with reasoning that is approximate rather than fixed and exact …

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