Answer to Question #220774 in Algorithms for Ella

Question

explain the three principal recognition processes by 

providing appropriate diagram and examples to explain your answer.

Answer 1

The recognition is the process of recognizing the patterns by using the machine learning algorithm. It is classified based on data, based on knowledge or statistical information which extracted form the pattern and their representation. The example of the recognition is listed below -

• Speech recognition
• speaker identification
• Multimedia document recognition (MDR)
• Automatic medical diagnosis

1. Appropriate class label is assigned to a pattern which is based on the abstraction and generated by using the set of training pattern or we can say domain knowledge.
2. Clustering generated a partition of data, which helps in the decision making. It is used in an unsupervised learning.

The features may be represented as continuous, discrete or discrete binary variables.

We can divide the pattern recognition system in two components -

Phase 1: It converts the input (image, sounds or other inputs) into the signal data.

Phase 2: It isolates the sensed objects from the background.

Phase 3: It measures the object properties which is useful for the classification.

Phase 4: It assigned the sensed object into the category.

Phase 5: It take the other consideration which decides for the appropriate action.