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1. In the Hidden Markov Model, which of the following options can be calculated using the Gaussian Mixture Model (GMM)?
A) Observation Probability
B) Transition Probability
C) Language Probability
D) Initial Probability
2. For a pixel P with coordinates (x, y), P has four diagonally adjacent pixels, called diagonal neighbors. Which of the following can correctly represent the coordinates of the diagonal neighbors?
A) (x-1, y-1), (x-1, y), (x+1, y-1), (x+1, y+1)
B) (x-1, y-1), (x-1, y+1), (x+1, y-1), (x+1, y+1)
C) (x-1, y), (x-1, y+1), (x+1, y-1), (x+1, y)
D) (x-1, y), (x-1, y+1), (x+1, y), (x+1, y+1)
3. Deep learning model training requires a large amount of data. In actual operation, data enhancement technology can be used to randomly add normal samples to the training image data set to expand the sample size of the data set.
A) False
B) True
4. The LDA algorithm assumes that the prior distribution of topics in documents and the prior distribution of words in topics both follow the Dirichlet distribution.
A) False
B) True
5. What problems of mean filtering can Gaussian filtering overcome?
A) Denoising (the main function of Gaussian filtering is noise reduction)
B) Large amount of calculation (same as C)
C) Fuzzification
D) Slow calculation (the calculation principle is the same, so the calculation speed depends on the data size)
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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