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Predictions of short-term driving intention using recurrent neural network on sequential data
Predictions of driver's intentions and their behaviors using the road is of great importance for planning and decision making processes of autonomous driving vehicles.
Modeling of the Latent Embedding of Music using Deep Neural Network
These latent embeddings can be used either as features to feed to subsequent models, such as collaborative filtering, or to build similarity metrics between songs, or to classify music based on the labels for training such as genre, mood, sentiment, etc.
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