13 citations · 48 across the 53 of their papers we have counts for
7 papers · 1 filter
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…
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals
Anupriya Gogna, Angshul Majumdar, Rabab Ward
In this work we propose an autoencoder based framework for simultaneous reconstruction and classification of biomedical signals. Previously these two tasks, reconstruction and clas…
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning
Vanika Singhal, Jyoti Maggu, Angshul Majumdar
Currently there are several well-known approaches to non-intrusive appliance load monitoring rule based, stochastic finite state machines, neural networks and sparse coding. Recent…
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…
Blind Denoising Autoencoder
Angshul Majumdar
The term blind denoising refers to the fact that the basis used for denoising is learnt from the noisy sample itself during denoising. Dictionary learning and transform learning ba…