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Conjugate the verb Boire in the passé composé tense. Samedi…

Conjugate the verb Boire in the passé composé tense. Samedi soir, ils _________ ([BLANK-1]) un apéritif au café.

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Conjugate the verb Finir in the passé composé tense. À quel…

Conjugate the verb Finir in the passé composé tense. À quelle heure tu ________________ [BLANK-1] tes devoirs hier soir?

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Lyon est située dans le nord de la France.

Lyon est située dans le nord de la France.

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Choose the correct verb and conjugate it in the passé compos…

Choose the correct verb and conjugate it in the passé composé tense. Sophie ____________ ses clés (perdre, attendre) [BLANK-1]

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In a practical implementation of the cylinder detector, what…

In a practical implementation of the cylinder detector, what parameters (i.e. ros parameters in a launch file) will be required? Identify some of the practical challenges for this implementation.

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In vision, it is very common to solve linear systems of the…

In vision, it is very common to solve linear systems of the form A · X = 0, with A ∈ IRn×m  contains known values and X ∈ IRm is a vector of parameters, with n >> m. They are solved by minimizing ||A · X|| such that ||X|| = 1. Why not use a standard regression formula with the pseudo-inverse instead?

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In this section, we are trying to estimate the illumination…

In this section, we are trying to estimate the illumination pattern of a narrow-beam led in an image. We consider an image as a 2D function I(x, y) ∈ IR, and we consider that the illumination pattern can be modelled as

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Having extracted the inliers, explain how regression can be…

Having extracted the inliers, explain how regression can be used to compute the least-square fit of (a, b, c, d) to the data. This question can be answered independently of the previous ones.

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The translation of ” Marc a voyagé en France le weekend dern…

The translation of ” Marc a voyagé en France le weekend dernier” is “Marc traveled to France last weekend”

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When doing a linear regression to fit a function y = ax2 + b…

When doing a linear regression to fit a function y = ax2 + bx + c on n pairs of points (Xi,Yi), what is the cost function we are minimizing?

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