Angshul Majumdar

Q: What Schools Are Affiliated With Angshul Majumdar

Angshul Majumdar is affiliated with the following schools: University of British Columbia, Indraprastha Institute of Information Technology, Delhi

Angshul Majumdar's AcademicInfluence.com Rankings

Angshul Majumdar

Computer Science

#10062

World Rank

#10555

Historical Rank

Information Management

#123

World Rank

#125

Historical Rank

Database

#7016

World Rank

#7260

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Why Is Angshul Majumdar Influential?

(Suggest an Edit or Addition)

(See a Problem?)

Angshul Majumdar's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation (2016) (167)
Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning (2017) (126)
Deep Sparse Coding for Non–Intrusive Load Monitoring (2018) (112)
Deep Dictionary Learning (2016) (107)
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data (2018) (104)
Bangla Basic Character Recognition Using Digital Curvelet Transform (2007) (104)
Face Recognition by Curvelet Based Feature Extraction (2007) (102)
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals (2017) (99)
An algorithm for sparse MRI reconstruction by Schatten p-norm minimization. (2011) (96)
Compressed sensing of color images (2010) (92)
Classification via group sparsity promoting regularization (2009) (87)
Some empirical advances in matrix completion (2011) (82)
Fast group sparse classification (2009) (79)
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning (2019) (70)
Compressed Sensing Based Real-Time Dynamic MRI Reconstruction (2012) (66)
Group sparse representation based classification for multi-feature multimodal biometrics (2016) (64)
Hierarchical Representation Learning for Kinship Verification (2018) (64)
Robust Classifiers for Data Reduced via Random Projections (2010) (62)
Face Verification via Class Sparsity Based Supervised Encoding (2017) (59)
Calibration-less multi-coil MR image reconstruction. (2012) (57)
Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation (2016) (57)
Joint reconstruction of multiecho MR images using correlated sparsity. (2011) (57)
Blind Denoising Autoencoder (2019) (54)
McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data (2018) (53)
Accelerating multi-echo T2 weighted MR imaging: analysis prior group-sparse optimization. (2011) (52)
Discriminative SIFT features for face recognition (2009) (51)
RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction (2017) (47)
Group sparse autoencoder (2017) (47)
Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach (2015) (45)
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification (2017) (44)
On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study (2012) (44)
A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users (2015) (39)
Synthesis and analysis prior algorithms for joint-sparse recovery (2012) (39)
Robust greedy deep dictionary learning for ECG arrhythmia classification (2017) (36)
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging (2014) (36)
Matrix completion incorporating auxiliary information for recommender system design (2015) (35)
Improved dynamic MRI reconstruction by exploiting sparsity and rank-deficiency. (2013) (35)
DiABlO: Optimization based design for improving diversity in recommender system (2017) (34)
Graph structured autoencoder (2018) (34)
Greedy Algorithms (2018) (34)
Non-convex algorithm for sparse and low-rank recovery: application to dynamic MRI reconstruction. (2013) (34)
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition (2018) (33)
Class sparsity signature based Restricted Boltzmann Machine (2017) (32)
Exploiting rank deficiency and transform domain sparsity for MR image reconstruction. (2012) (32)
Disaggregating Transform Learning for Non-Intrusive Load Monitoring (2018) (32)
Gabor based analysis prior formulation for EEG signal reconstruction (2013) (32)
A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network (2014) (31)
Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script (2007) (31)
A comparative study in wavelets, curvelets and contourlets as feature sets for pattern recognition (2009) (31)
Pseudo-Fisherface method for single image per person face recognition (2008) (31)
Compressive color imaging with group-sparsity on analysis prior (2010) (30)
Semi Supervised Autoencoder (2016) (30)
Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction. (2015) (30)
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals (2015) (30)
Deep Latent Factor Model for Collaborative Filtering (2019) (29)
Image compression by sparse PCA coding in curvelet domain (2009) (28)
A MLP Classifier for Both Printed and Handwritten Bangla Numeral Recognition (2006) (28)
Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification (2019) (28)
Compressive sensing multi-spectral demosaicing from single sensor architecture (2014) (27)
Analysis Co-Sparse Coding for Energy Disaggregation (2019) (27)
High-resolution radar imaging of moving humans using doppler processing and compressed sensing (2015) (26)
Mixed Gaussian and impulse denoising of hyperspectral images (2015) (25)
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings (2019) (25)
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder (2015) (25)
Face Sketch Matching via Coupled Deep Transform Learning (2017) (24)
Balancing accuracy and diversity in recommendations using matrix completion framework (2017) (24)
Blind Kalman Filtering for Short-Term Load Forecasting (2020) (24)
Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights (2014) (23)
Compressed Sensing for Magnetic Resonance Image Reconstruction (2015) (23)
Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior (2010) (23)
Gender and ethnicity classification of Iris images using deep class-encoder (2017) (23)
Causal dynamic MRI reconstruction via nuclear norm minimization. (2012) (23)
Algorithms to Approximately Solve NP Hard Row-Sparse MMV Recovery Problem: Application to Compressive Color Imaging (2012) (23)
Identity Aware Synthesis for Cross Resolution Face Recognition (2018) (22)
Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization (2020) (21)
Impulse denoising for hyper-spectral images: A blind compressed sensing approach (2016) (21)
Exploiting spatiospectral correlation for impulse denoising in hyperspectral images (2015) (20)
Face recognition from video: An MMV recovery approach (2012) (20)
Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements (2018) (19)
Face Recognition by Multi-resolution Curvelet Transform on Bit Quantized Facial Images (2007) (19)
Greedy Deep Dictionary Learning (2016) (19)
Single image per person face recognition with images synthesized by non-linear approximation (2008) (18)
Nuclear norm-regularized SENSE reconstruction. (2012) (18)
Kernel transform learning (2017) (17)
Asymmetric stacked autoencoder (2017) (17)
Increasing energy efficiency in sensor networks: blue noise sampling and non-convex matrix completion (2011) (17)
Label-Consistent Transform Learning for Hyperspectral Image Classification (2019) (16)
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis (2016) (16)
Compressed Sensing for Engineers (2018) (15)
Multi-label LSTM autoencoder for non-intrusive appliance load monitoring (2021) (15)
Exploiting inter-channel correlation in EEG signal reconstruction (2015) (15)
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning (2018) (15)
Unsupervised Deep Transform Learning (2018) (15)
Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring (2019) (15)
Motion predicted online dynamic MRI reconstruction from partially sampled k-space data. (2013) (15)
Improved Group Sparse Classifier (2010) (15)
Energy efficient acquisition and reconstruction of EEG signals (2014) (15)
Non-convex group sparsity: Application to color imaging (2010) (14)
Noisy deep dictionary learning: Application to Alzheimer's Disease classification (2017) (14)
Deeply transformed subspace clustering (2020) (14)
Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images (2013) (14)
Mitigation of through-wall interference in radar images using denoising autoencoders (2018) (13)
FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI (2012) (13)
Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model (2013) (13)
Matrix Recovery Using Split Bregman (2013) (13)
A sparse regression based approach for cuff-less blood pressure measurement (2016) (13)
Multiresolution Methods in Face Recognition (2008) (12)
An autoencoder based formulation for compressed sensing reconstruction. (2018) (12)
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network (2015) (12)
Non-convex row-sparse multiple measurement vector analysis prior formulation for EEG signal reconstruction (2014) (12)
Multi-spectral demosaicing technique for single-sensor imaging (2013) (12)
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification (2018) (12)
Gene expression based inference of cancer drug sensitivity (2022) (12)
Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising (2014) (11)
Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network (2017) (11)
Convolutional Transform Learning (2018) (11)
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. (2020) (10)
Causal MRI reconstruction via Kalman prediction and compressed sensing correction. (2017) (10)
Compressed sensing CPMG with group‐sparse reconstruction for myelin water imaging (2014) (10)
Greedy deep transform learning (2017) (10)
Iterative estimation of MRI sensitivity maps and image based on sense reconstruction method (isense) (2012) (10)
Matrix completion on multiple graphs: Application in collaborative filtering (2019) (10)
Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation (2017) (9)
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning (2020) (9)
Kernel group sparse representation based classifier for multimodal biometrics (2017) (9)
Frontal Face Recognition from Video (2008) (9)
Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances (2018) (9)
A focuss based method for low rank matrix recovery (2012) (9)
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials (2020) (9)
Robust dictionary learning: Application to signal disaggregation (2016) (9)
Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction (2015) (8)
Denoising (2018) (8)
Motion blur removal via coupled autoencoder (2017) (8)
Solving Inverse Problems in Imaging via Deep Dictionary Learning (2019) (8)
Robust transform learning (2017) (8)
Hierarchical Representation Learning for Kinship Verification (2017) (8)
Removing sparse noise from hyperspectral images with sparse and low-rank penalties (2016) (8)
Sparsely connected autoencoder (2016) (8)
Greedy deep dictionary learning for hyperspectral image classification (2016) (7)
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter (2021) (7)
Recurrent dictionary learning for state-space models with an application in stock forecasting (2021) (7)
Stacked Robust Autoencoder for Classification (2016) (7)
Low-Rank Matrix Recovery (2018) (7)
Alternate formulation for transform learning (2016) (7)
Accelerating low-rank matrix completion on GPUs (2014) (7)
Real-time reconstruction of EEG signals from compressive measurements via deep learning (2016) (7)
deepMc: deep Matrix Completion for imputation of single cell RNA-seq data (2018) (7)
Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices (2021) (7)
Non linear sparse recovery algorithm (2014) (6)
DeConFuse: a deep convolutional transform-based unsupervised fusion framework (2020) (6)
Through-wall propagation effects on Doppler-enhanced frontal radar images of humans (2016) (6)
Machine Load Estimation Via Stacked Autoencoder Regression (2018) (6)
How to Train Your Neural Network with Dictionary Learning (2017) (6)
Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction (2015) (5)
Hyperspectral impulse denoising with sparse and low-rank penalties (2015) (5)
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems (2020) (5)
SVD free matrix completion with online bias correction for Recommender systems (2015) (5)
Transformed Subspace Clustering (2019) (5)
Blind Compressive Sensing Framework for Collaborative Filtering (2015) (5)
Matrix completion on learnt graphs: Application to collaborative filtering (2021) (5)
Class-wise deep dictionaries for EEG classification (2016) (5)
Metadata based recommender systems (2014) (5)
Improved MRI reconstruction via non-convex elastic net (2014) (5)
Unsupervised Detection of Non-Technical Losses via Recursive Transform Learning (2021) (5)
Noisy Deep Dictionary Learning (2017) (5)
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization (2018) (5)
Deep Latent Factor Model for Predicting Drug Target Interactions (2019) (5)
Discriminative Autoencoder (2018) (4)
Deep Blind Compressed Sensing (2016) (4)
Generalized Non-linear Sparse Classifier (2013) (4)
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine (2017) (4)
Multi-spectral demosaicing: A joint-sparse elastic-net formulation (2015) (4)
Hierarchical Autoencoder for Collaborative Filtering (2018) (4)
Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification (2018) (4)
Disparity Map Computation for Stereo Images using Compressive Sampling (2013) (4)
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification (2021) (4)
How to Train Your Deep Neural Network with Dictionary Learning (2016) (4)
Regressing Kernel Dictionary Learning (2018) (4)
Class-wise deep dictionary learning (2017) (4)
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning (2019) (4)
Recurrent transform learning (2019) (4)
Drug-Target Interaction prediction using Multi-Graph Regularized Deep Matrix Factorization (2019) (4)
Nuclear norm regularized robust dictionary learning for energy disaggregation (2016) (3)
Latent factor models for collaborative filtering (2017) (3)
Transform Learning Based Function Approximation for Regression and Forecasting (2019) (3)
Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation (2015) (3)
Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring (2018) (3)
Semi-coupled Transform Learning (2018) (3)
Deep Convolutional Transform Learning (2020) (3)
Face Recognition by Multiresolution Contourlet Transform on Bit Quantized Facial Images (2007) (3)
Advances In Online Dynamic MRI Reconstruction (2014) (3)
Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion (2020) (3)
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring (2020) (3)
Compressive classification for face recognition (2009) (3)
A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks (2010) (3)
Online single and multiple analysis dictionary learning-based approach for visual object tracking (2019) (3)
Compressed sensing based MR image reconstruction from multiple partial K-space scans (2011) (3)
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design (2014) (3)
Sequential Transform Learning (2021) (3)
Machine Intelligence and Signal Processing (2015) (3)
Real-Time Dynamic MRI Reconstruction: Accelerating Compressed Sensing on Graphical Processor Unit (2013) (3)
Trainingless Energy Disaggregation Without Plug-Level Sensing (2022) (3)
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing (2015) (3)
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis (2019) (3)
Matrix factorization model using Kacmarz algorithm: Application in sensor localization (2015) (3)
Learning autoencoders with low-rank weights (2017) (3)
Non-linear sparse and group sparse classifier (2013) (2)
Matrix factorization from non-linear projections: application in estimating T2 maps from few echoes. (2015) (2)
Kernelized Linear Autoencoder (2021) (2)
FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles (2020) (2)
Some Open Problems (2015) (2)
Low rank group sparse representation based classifier for pose variation (2016) (2)
A Compressed Sensing Approach to Fibre Bragg Interrogation (2019) (2)
Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification (2017) (2)
Non-Convex Compressed Sensing from Noisy Measurements (2009) (2)
Multi-Coil Parallel MRI Reconstruction (2015) (2)
One-Day-Ahead Load Forecasting using nonlinear Kalman filtering algorithms (2016) (2)
MRI : Physics, Image Reconstruction, and Analysis (2018) (2)
Compressive hyper-spectral imaging in the presence of impulse noise (2015) (2)
Two-dimensional array processing with compressed sensing (2014) (2)
Dynamic MRI Reconstruction (2015) (2)
Multi-Label Auto-Encoder based Electrical Load Disaggregation (2020) (2)
Parallelizing sparse recovery algorithms: A stochastic approach (2014) (2)
A Reconstruction Algorithm for Multi-Spectral Image Demosaicing (2013) (2)
Graph transform learning (2020) (2)
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors (2014) (2)
Drug-target interaction prediction using Doubly Graph Regularized Matrix Completion (2018) (2)
Discriminative label consistent dictionary learning (2015) (2)
Transformed Locally Linear Manifold Clustering (2018) (2)
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction (2020) (2)
Age and Gender Estimation via Deep Dictionary Learning Regression (2019) (2)
Exploiting Sparsity and Rank Deficiency for MR Image Reconstruction From Multiple Partial K-Space Scans (2014) (2)
Blind compressive sensing formulation incorporating metadata for recommender system design (2015) (2)
Exploiting rank deficiency for MR image reconstruction from multiple partial K-space scans (2013) (2)
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals (2018) (2)
Classification by Linearity Assumption (2009) (2)
Sparse filtering based hyperspectral unmixing (2016) (2)
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis (2018) (2)
Adaptive Deep Dictionary Learning for MRI Reconstruction (2018) (1)
Computational Compressed Sensing of Fiber Bragg Gratings (2021) (1)
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction (2022) (1)
Compressing Deep Neural Network: A Black-Box System Identification Approach (2021) (1)
Reducing Mixed Noise from Hyperspectral Images (2016) (1)
Binary matrix completion on graphs: Application to collaborative filtering (2022) (1)
Fast group sparse classifi cation Classifi cateur rapide à dispersion de groupes (2009) (1)
Blind compressive hyper-spectral imaging (2015) (1)
Scale-rotation invariant features from Non-Subsampled Contourlets (2015) (1)
SelfE: Gene Selection via Self-Expression for Single-Cell Data (2020) (1)
Fast SVD free low-rank matrix recovery: Application to dynamic MRI reconstruction (2014) (1)
A compressed sensing approach to fibre Bragg grating interrogation (Conference Presentation) (2020) (1)
Indian Regional Movie Dataset for Recommender Systems (2018) (1)
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery (2015) (1)
Recovering Partially Sampled EEG Signals Using Learned Dictionaries (2016) (1)
Solving inverse problems with autoencoders on learnt graphs (2022) (1)
Greedy Algorithms for Non-linear Sparse Recovery (2016) (1)
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices (2020) (1)
Dynamic CT Reconstruction by Smoothed Rank Minimization (2013) (1)
Supervised Kernel Transform Learning (2019) (1)
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution (2021) (1)
Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring (2021) (1)
Handling Missing Data and Outliers in Energy Disaggregation (2016) (1)
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19 (2020) (1)
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework (2021) (1)
Compressive Non-Intrusive Load Monitoring (2020) (1)
Addressing coldstart problem in recommender systems (2016) (1)
Deep Dictionary Learning for Inpainting (2020) (1)
K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection (2022) (1)
Supervised Learning in Matrix Completion Framework for Recommender System Design (2016) (1)
Compressive hyper-spectral imaging in the presence of real noise (2016) (1)
Impulse denoising via transform learning (2017) (1)
Focuss algorithm for rank aware row-sparse MMV recovery (2013) (1)
Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems (2018) (1)
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis (2020) (1)
Blind hyperspectral denoising (2015) (1)
Random forest of Imputation Trees(RITS) for sparse single cell Genomics data (2019) (0)
Frontal face recognition from video via rank-aware multiple measurement vector recovery (2015) (0)
TransFuse: A Transform Learning Based Multisensor Fusion Framework (2020) (0)
Deep Convolutional K-Means Clustering (2022) (0)
Introduction (2018) (0)
GeoInFuse - A data-driven information fusion for intra-urban form classification in data-scarce heterogeneous cities (2022) (0)
Applications in Other Areas (2015) (0)
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring (2022) (0)
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification (2016) (0)
Regression (2018) (0)
Deep transform learning (2019) (0)
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis (2022) (0)
Transformed K-means Clustering (2021) (0)
Deep Dictionary Learning v10 (2016) (0)
Energy ef fi cient EEG acquisition and reconstruction for a Wireless Body Area Network (2017) (0)
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data (2018) (0)
Transaction / Regular Paper Title (2020) (0)
Group Sparsity (2018) (0)
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow (2022) (0)
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization (2017) (0)
Clustering Friendly Dictionary Learning (2021) (0)
Compressive Classification for Face Recognition: A New Approach (2009) (0)
Siamese Deep Dictionary Learning (2019) (0)
Joint Sparsity (2018) (0)
A visual atlas of genes’ tissue-specific pathological roles (2022) (0)
Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining (2022) (0)
Joint-sparse dictionary learning: Denoising multiple measurement vectors (2017) (0)
Computational Imaging (2018) (0)
BOLTZMANN MACHINE FOR NON-INTRUSIVE LOAD MONITORING (2019) (0)
Multi-spectral missing label prediction via restoration using deep residual dictionary learning (2018) (0)
Acoustic-Based Machine Anomaly Detection Using Beamforming and Sequential Transform Learning (2023) (0)
Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm (2014) (0)
Marker-free characterization of full-length transcriptomes of single live circulating tumor cells. (2022) (0)
k-t CaLM : CALIBRATION-LESS MULTI-COIL DYNAMIC MRI RECONSTRUCTION (2011) (0)
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification (2022) (0)
Low-rank matrix recovery from non-linear observations (2015) (0)
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering (2020) (0)
Marker-free characterization of single live circulating tumor cell full-length transcriptomes (2021) (0)
rank aware MMV (2012) (0)
Deep Transform Learning for Multi-Sensor Fusion (2021) (0)
Kernelized transformed subspace clustering with geometric weights for non-linear manifolds (2022) (0)
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning (2017) (0)
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning (2022) (0)
Multi-Sensor Fusion Framework using Discriminative Autoencoders (2021) (0)
Transductive Inversion via Deep Transform Learning (2022) (0)
Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery (2022) (0)
Combined Sparse and Low-Rank Recovery (2018) (0)
Calibrationless Parallel Magnetic Resonance Imaging: A Joint (2013) (0)
Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction (2013) (0)
Cluster Aware Deep Dictionary Learning for Single Cell Analysis (2020) (0)
Deep state space model for predicting cryptocurrency price (2022) (0)
Matrix completion techniques in bioinformatics (2020) (0)
Deep Convolutional Transform Learning - Extended version (2020) (0)
Co-sparse Recovery (2018) (0)
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition (2018) (0)
Gene expression based inference of drug resistance in cancer (2021) (0)
Demand-side analytics for sustainable energy (2019) (0)
Multicoil Parallel MRI (2017) (0)
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems (2022) (0)
Sparse recovery techniques for hyperspectral imaging (2016) (0)
A Blind Compressed Sensing formulation for collaborative filtering (2014) (0)
Medical Imaging (2018) (0)
Single Channel Static MR Image Reconstruction (2015) (0)
Deeply Coupled Graph Structured Autoencoder for Domain Adaptation (2019) (0)
Erratum: Dynamic CT Reconstruction by Smoothed Rank Minimization (2013) (0)
Biomedical Signal Reconstruction (2018) (0)
Dictionary Learning (2018) (0)
Phaseless FMCW Multistatic Radar (2022) (0)
Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements" (2018) (0)
Sparse Recovery (2018) (0)
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection (2023) (0)
Visual tracking using analysis dictionary learning (2017) (0)
937 Elastic Net Formulation for MRI Reconstruction (2013) (0)
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements (2015) (0)
Acoustic based Machine Anomaly Detection using Beamforming and Sequential Transform Learning (2023) (0)
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework (2023) (0)
Analysis dictionary learning for classification (2016) (0)
DeConFuse: a deep convolutional transform-based unsupervised fusion framework (2020) (0)
Nuclear Norm Regularized Randomized Neural Network (2016) (0)
Solving matrix factorization from lower dimensional projections : applications in collaborative filtering and magnetic resonance imaging (2014) (0)
Improving Rating Predictions by Baseline Estimation and Single Pass Low-Rank Approximation (2016) (0)
Robust estimation for subspace based classifiers (2016) (0)
Classification (2018) (0)

This paper list is powered by the following services:

What Schools Are Affiliated With Angshul Majumdar?

Angshul Majumdar is affiliated with the following schools:

Angshul Majumdar's Academic­Influence.com Rankings

Why Is Angshul Majumdar Influential?

Angshul Majumdar's Published Works

Published Works

What Schools Are Affiliated With Angshul Majumdar?

Angshul Majumdar's AcademicInfluence.com Rankings