NPTEL Computer Vision Week 11 Assignment Answers 2024
1.
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2. From the data points given in question 1, what is the total variance in PCA?
a) 4.65
b) 3.336
c) 12.86
d) 1.33
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3. Which of the following are true regarding Principal Component Analysis (PCA)?
a) It finds the minimum dimensional subspace for representing the data.
b) All principal components are orthogonal to each other.
c) It provides the direction along which the data have the largest variance.
d) It computes components along principal axes.
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4. LDA is a parametric method
a) True
b) False
Answer :-
5. What is a common application of PCA in data preprocessing?
a) Classification
b) Segmentation
c) Dimensionality reduction
d) Feature selection based on class labels
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6.
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7. Which of the following statements is true about the relationship between PCA and LDA?
a) PCA and LDA both maximize class separability
b) PCA and LDA both maximize variance
c) PCA maximizes class separability while LDA maximizes variance
d) PCA maximizes variance while LDA maximizes class separability
Answer :-
8.
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9. OMP is
a) Greedy Algorithm
b) Dynamic Programming Algorithm
c) Divide and Conquer Algorithm
d) None of these
Answer :-
10. Which of the following are true with respect to K-SVD?
a) It is dictionary learning algorithm for sparse representations.
b) It is a generalisation of K-means clustering algorithm.
c) It works on updating dictionary atoms until convergence.
d) All the above
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