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Subject Name - Pattern Recognition and Computer Vision

Subject Code - ML-411T

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UNIT 1

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PRCV Assignment 1 - 2025

 

Subject Name: Pattern Recognition and Computer Vision

             

Subject Code: ML-411T                 Semester: 7^th

 

Assignment No. 1

 

Bloom’s Taxonomy Levels:  1. Remember  2. Understand  3. Apply  4. Analyze  5. Evaluate 6. Create

 

Q. No.	Question	BTL level	CO
1.	Explain the difference between supervised and unsupervised learning in pattern recognition.	3	1
2.	What is the role of clustering in pattern recognition?	2	1
3.	Discuss the advantages and limitations of using Decision Trees for pattern recognition.	1	1
4.	Explain the concept of feature selection and its importance in pattern recognition.	4	2
5	Analyze the performance of different clustering algorithms (e.g., K-means, Hierarchical) on a gene expression dataset.	2	1
6.	Prove that Naive Bayes classifiers are optimal when features are independent.	4	2
7.	Explain the concept of maximum-margin hyperplane in SVMs.	2	1
8.	Derive the SVM decision boundary equation.	1	1
9.	Describe the role of bias terms in Feed Forward Networks.	2	2
10.	Explain the difference between Fisher Discriminant Analysis and Principal Component Analysis.	2	2
11.	What is the role of regularization in polynomial curve fitting?	1	2