Search Results - "Singhal, Vanika"

Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements by Singhal, Vanika, Majumdar, Angshul, Ward, Rabab K.

“…In this paper, the objective is to classify biomedical signals from their compressive measurements. The problem arises when compressed sensing (CS) is used for…”
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Solving Inverse Problems in Imaging via Deep Dictionary Learning by Lewis D., John, Singhal, Vanika, Majumdar, Angshul

“…In dictionary learning-based inversion, the dictionary and coefficients are learnt adaptively from the image during the inversion process; this is a shallow…”
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Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements" by Singhal, Vanika, Majumdar, Angshul, Ward, Rabab K.

“…In the above paper <xref ref-type="bibr" rid="ref1">[1] , the funding information should read "This work was supported by the NPRP Grant 7-684-1-127 from the…”
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A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning by Singhal, Vanika, Majumdar, Angshul

“…In this work, we focus on solving four standard inverse problems in imaging – denoising, deblurring, super-resolution, and reconstruction. All these problems…”
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Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning by Singhal, Vanika, Maggu, Jyoti, Majumdar, Angshul

“…Currently there are several well-known approaches to non-intrusive appliance load monitoring-rule based, stochastic finite state machines, neural networks, and…”
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Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning by Singhal, Vanika, Majumdar, Angshul

“…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…”
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Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification by Singhal, Vanika, Majumdar, Angshul

“…In recent studies in hyperspectral imaging, biometrics, and energy analytics, the framework of deep dictionary learning has shown promise. Deep dictionary…”
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Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning by Singhal, Vanika, Majumdar, Angshul

“…The concept of deep dictionary learning (DDL) has been recently proposed. Unlike shallow dictionary learning which learns single level of dictionary to…”
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Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification by Singhal, Vanika, Aggarwal, Hemant K., Tariyal, Snigdha, Majumdar, Angshul

“…This paper proposes a new framework for deep learning that has been particularly tailored for hyperspectral image classification. We learn multiple levels of…”
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Estimating deviation from Canonical Orientation for CT Head images by Anand, Deepa, Singhal, Vanika, Mullick, Rakesh, Patil, Uday, Dutta, Sandeep, Das, Bipul

“…Aligning medical images with standard visualization planes is crucial for accurate diagnosis. The literature suggests two categories of methods for correcting…”
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Local Binary Pattern for automatic detection of Acute Lymphoblastic Leukemia by Singhal, Vanika, Singh, Preety

“…Acute Lymphoblastic Leukemia (ALL) is caused due to increase in number of abnormal lymphocyte cells in blood or bone marrow. This paper presents a methodology…”
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Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification by Singhal, Vanika, Majumdar, Angshul

“…In recent studies in hyperspectral imaging, biometrics and energy analytics, the framework of deep dictionary learning has shown promise. Deep dictionary…”
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Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning by Singhal, Vanika, Majumdar, Angshul

“…The concept of deep dictionary learning has been recently proposed. Unlike shallow dictionary learning which learns single level of dictionary to represent the…”
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Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning by Singhal, Vanika, Majumdar, Angshul

“…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…”
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Noisy deep dictionary learning: Application to Alzheimer's Disease classification by Singhal, Vanika, Majumdar, Angshul

“…A recent work introduced the concept of deep dictionary learning. In deep dictionary learning, the first level proceeds like standard dictionary learning; in…”
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Age and Gender Estimation via Deep Dictionary Learning Regression by Singhal, Vanika, Majumdar, Angshul

“…The paper addresses the problem of estimating age and gender from frontal photos. Most prior studies on deep learning based estimation formulate it as a…”
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Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification by Singhal, Vanika, Majumdar, Angshul

“…This is the first work that introduces supervision into the deep dictionary learning framework and solves it in an optimal fashion. The derivation for solving…”
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Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning by Singhal, Vanika, Maggu, Jyoti, Majumdar, Angshul

“…Currently there are several well-known approaches to non-intrusive appliance load monitoring rule based, stochastic finite state machines, neural networks and…”
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Deep Blind Compressed Sensing by Singh, Shikha, Singhal, Vanika, Majumdar, Angshul

“…This work addresses the problem of extracting deeply learned features directly from compressive measurements. There has been no work in this area, existing…”
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How to Train Your Neural Network with Dictionary Learning by Singhal, Vanika, Singh, Shikha, Majumdar, Angshul

“…Currently there are two predominant ways to train deep neural networks. The first one uses restricted Boltzmann machine (RBM) and the second one auto encoders…”
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