Browsing PhD Theses by Author "Majumdar, Angshul (Advisor)"

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Deep dictionary learning

Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)

Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
Latent factor models for collaborative filtering

Gogna, Anuprriya; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2017-04)

The enormous growth in online availability of information content has made Recommender Systems (RS) an integral part of most online portals and e-commerce sites. Most websites and service portals, be it movie rental services, ...
Learning algorithms for non intrusive load monitoring

Singh, Shikha; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-07)

Non-Intrusive Load Monitoring (NILM), also known as Energy Disaggregation, is the process of segregating a building’s total electricity consumption into its appliances by appliance consumption from the smart meter data. ...

Now showing items 1-3 of 3

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