Browsing Electronics and Communication Engineering by Subject "Autoencoders"

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Analysis dictionary learning for classification

Bhattacharjee, Protim; Majumdar, Angshul (Advisor) (2016-09-13)

Data classification is the core of leading technologies today. With the explosion of data through mobility and growth of the Internet, analysis and classification of data is the immediate process after acquisition. Most ...
Deep learning for attribute prediction and small sample size problems

Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)

The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...
Regularized autoencoders

Gupta, Kavya; Majumdar, Angshul (Advisor) (2016-11-09)

Autoencoders are Neural Networks trained in order to map input to its output. Autoencoders are designed to enable the network to copy input to output as close as possible. Following this, the network will be able to learn ...

Now showing items 1-3 of 3

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