| 1. | The distance function, in its homogeneous form, is unchanged.
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| 2. | Metric learning is the task of learning a distance function over objects.
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| 3. | However, many heuristics work better for it than for other distance functions.
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| 4. | The model makes extensive use of gravity or interaction decaying with distance functions.
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| 5. | Using the distance function is very attractive because its computation is relatively fast.
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| 6. | There are several collaborations for each kind of universal long-distance functions.
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| 7. | This family is the family of affine distance functions:
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| 8. | The signed distance function is thus a differentiable extension of the normal vector field.
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| 9. | Dirichlet's principle states that the distance function
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| 10. | These properties may variously be distance function.
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