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Representation-learning

A set of techniques in machine learning that allows a system to automatically discover the representations needed for feature detection or classification from raw data.

Soccer Team Vectors
Soccer Team Vectors

STEVE learns soccer team embeddings from match data for analysis.

Learned Trajectory Annotation
Learned Trajectory Annotation

Unsupervised autoencoder learns spatial context from trajectory data for annotation.