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2026_ML pour la reconnaisance des formes

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Compute the unnormalized Bag of Visual Words (BoVW) vector we obtain for some image:
  • given the following descriptors extracted from this image:

    , , , , , , , , , , , ,

  • and given the result of the clustering in the descriptor space as illustrated in the image above (letter: cluster name and order, stars: cluster centers, lines: clusters boundaries).

Warning: this answer is corrected automatically, so please
  • order vector values in the proper cluster order
  • write only values, separated by a space.

For instance, to write the vector , write "1 5 -4 0".

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A Gaussian distribution of two classes, "false" and "true".

The figure above depicts a distribution of "false" and "true" classes given a certain feature.

The figure also shows several potential places (a, b, c, d, e, f, g) where a threshold could be set.

If the "true" class indicates a poisonous mushroom, which threshold should you use to be safe?

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Suppose you have an imbalanced dataset where we have the following classes and prior probabilities:

  • A: 0.6
  • B: 0.1
  • C: 0.25
  • D: 0.05

What is the value of the best accuracy that a dummy classifier would get?

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A Gaussian distribution of two classes, "false" and "true".

The figure above depicts a distribution of "false" and "true" classes given a certain feature.

The figure also shows several potential places (a, b, c, d, e, f, g) where a threshold could be set.

Select among the following curves the one which represents the right "Receiver Operating Characteristic" (ROC) curve corresponding to this distribution and thresholds.

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What is the expected accuracy of a truly random classifier (which picks one of the possible classes with a uniform probability) if we have 6 classes with equal probabilities.

Please provide 2 significant digits.

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Among the following propositions regarding generative classifiers, check the ones which are true.

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Match each classifier category with its definition.

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Compute the unnormalized Bag of Visual Words (BoVW) vector we obtain for some image:
  • given the following descriptors extracted from this image:

    , , , , , , , , , , , ,

  • and given the result of the clustering in the descriptor space as illustrated in the image above (letter: cluster name and order, stars: cluster centers, lines: clusters boundaries).

Warning: this answer is corrected automatically, so please
  • order vector values in the proper cluster order
  • write only values, separated by a space.

For instance, to write the vector , write "1 5 -4 0".

View this question

When training an image classifier, what do we need?

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Match each pipeline with its definition.

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