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tweak chapter titles

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Yan Lin 2026-02-04 16:45:42 +01:00
parent 60ca31fd73
commit 0fecc2303f
18 changed files with 21 additions and 21 deletions
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content/dl4traj/end-to-end/index.md
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title = "End-to-end Learning of Trajectories"
date = 2026-02-02
description = ""
weight = 2
weight = 5
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chapter = "2"
chapter = "Chapter 5"
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End-to-end learning means training a model to perform a task from input to output, supervising only on how the output aligns with the task's ground truth.

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content/dl4traj/generation/index.md
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title = "Trajectory Generation"
date = 2026-02-04
description = ""
weight = 4
weight = 7
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chapter = "4"
chapter = "Chapter 7"
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Trajectory generation, or trajectory synthesis, aims to generate trajectories that are not actually recorded in the available trajectory data, but are still realistic and follow a target distribution.

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content/dl4traj/introduction/index.md
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chapter = "1"
chapter = "Chapter 1"
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A spatiotemporal trajectory is a sequence, with each item being a timestamped location. It records the movement of an object or a human through time and space.

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content/dl4traj/self-supervised/index.md
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title = "Self-supervised Learning of Trajectories"
date = 2026-02-03
description = ""
weight = 3
weight = 6
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chapter = "3"
chapter = "Chapter 6"
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Self-supervised learning means training a model with unlabeled data, using supervisory signals extracted from the data itself. It usually does not set the model to perform a certain task, but aims to learn task-agnostic information in the data.