1 citations · 1 across the 6 of their papers we have counts for
6 papers
Analysis Co-Sparse Coding for Energy Disaggregation
Shikha Singh, Angshul Majumdar
Energy disaggregation is the task of segregating the aggregate energy of the entire building (as logged by the smartmeter) into the energy consumed by individual appliances. This i…
Deep Sparse Coding for Non-Intrusive Load Monitoring
Shikha Singh, Angshul Majumdar
Energy disaggregation is the task of segregating the aggregate energy of the entire building (as logged by the smartmeter) into the energy consumed by individual appliances. This i…
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
Shikha Singh, Angshul Majumdar
This work follows the approach of multi-label classification for non-intrusive load monitoring (NILM). We modify the popular sparse representation based classification (SRC) approa…
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
Sagar Verma, Shikha Singh, Angshul Majumdar
Increasing population indicates that energy demands need to be managed in the residential sector. Prior studies have reflected that the customers tend to reduce a significant amoun…
How to Train Your Deep Neural Network with Dictionary Learning
Vanika Singhal, Shikha Singh, Angshul Majumdar
Currently there are two predominant ways to train deep neural networks. The first one uses restricted Boltzmann machine (RBM) and the second one autoencoders. RBMs are stacked in l…
Deep Blind Compressed Sensing
Shikha Singh, Vanika Singhal, Angshul Majumdar
This work addresses the problem of extracting deeply learned features directly from compressive measurements. There has been no work in this area. Existing deep learning tools only…