IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Subject "Mean Shift, Clustering, Deep Learning, End-to-End Learning, AutoEncoder, Latent Space Representations, Unsupervised Learning, Semi-Supervised Learning, Representation Learning, Support Set Loss."

Browsing Computer Science and Engineering by Subject "Mean Shift, Clustering, Deep Learning, End-to-End Learning, AutoEncoder, Latent Space Representations, Unsupervised Learning, Semi-Supervised Learning, Representation Learning, Support Set Loss."

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  • Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIIT-Delhi, 2019-11-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...

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