AKTU MCA Pattern Recognition (KCA033) Question Paper 2021-22

Note: Attempt all Sections. If you require any missing data, then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. What is the concept of Pattern recognition?
2. Differentiate between Learning and Adaptation process.
3. What do you mean by Classifiers?
4. How decision making process affect the pattern recognition process?
5. Name various Estimation techniques.
6. List the different type of estimation techniques.
7. What do you mean by density estimation rule?
8. Define Nonparametric techniques.
9. Define the clustering process.
10. Define unsupervised learning.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain the Chi Square test with example.
2. Illustrate the Bayesian Decision Theory techniques.
3. Discuss the Principal component analysis process with example.
4. Write in brief about the fuzzy classification and its techniques.
5. Explain the Error partitioned clustering technique with proper example.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain different pattern recognition approaches.
2. Illustrate the design principle of pattern recognition system.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. How Statistical pattern recognition helped for the correct recognition explain with example?
2. How discriminant function works explain with example.

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Write in brief about the Hidden Markov Model.
2. Explain fisher linear discriminant analysis.

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Illustrate the Nearest Neighbor rule with example.
2. Explain the parzen windows concept with example.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss the Cluster validation techniques in brief.
2. Explain the Agglomerative Hierarchical Clustering with example.

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