2 citations · 2 across the 5 of their papers we have counts for
5 papers
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification
Vanika Singhal, Angshul Majumdar
In recent studies in hyperspectral imaging, biometrics and energy analytics, the framework of deep dictionary learning has shown promise. Deep dictionary learning outperforms other…
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification
Vanika Singhal, Hemant K. Aggarwal, Snigdha Tariyal +1
This work proposes a new framework for deep learning that has been particularly tailored for hyperspectral image classification. We learn multiple levels of dictionaries in a robus…
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning
Vanika Singhal, Angshul Majumdar
The concept of deep dictionary learning has been recently proposed. Unlike shallow dictionary learning which learns single level of dictionary to represent the data, it uses multip…
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…
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
Vanika Singhal, Angshul Majumdar
Multi-echo magnetic resonance (MR) images are acquired by changing the echo times (for T2 weighted) or relaxation times (for T1 weighted) of scans. The resulting (multi-echo) image…