Angshul Majumdar

Orcid: 0000-0002-1065-3000

According to our database1, Angshul Majumdar authored at least 258 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions].
IEEE Signal Process. Mag., July, 2024

Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection.
Earth Sci. Informatics, June, 2024

Corrigendum to "Deep state-space model for predicting cryptocurrency price" [Inform. Sci. 618 (2022) 417-433].
Inf. Sci., March, 2024

DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework.
Signal Process., 2024

Contrastive deep convolutional transform k-means clustering.
Inf. Sci., 2024

Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Neural Network Model Compression and Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions].
IEEE Signal Process. Mag., November, 2023

DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework.
Expert Syst. Appl., October, 2023

Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions].
IEEE Signal Process. Mag., September, 2023

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction.
IEEE J. Biomed. Health Informatics, May, 2023

Kernelized transformed subspace clustering with geometric weights for non-linear manifolds.
Neurocomputing, 2023

Deep State-Space Model for Predicting Cryptocurrency Price.
CoRR, 2023

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition.
CoRR, 2023

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Label-Consistent Convolutional Dictionary Learning for Machine Inspection.
Proceedings of the 31st European Signal Processing Conference, 2023

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring.
IEEE Trans. Smart Grid, 2022

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring.
ACM Trans. Knowl. Discov. Data, 2022

Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining.
IEEE Trans. Instrum. Meas., 2022

Trainingless Energy Disaggregation Without Plug-Level Sensing.
IEEE Trans. Instrum. Meas., 2022

SelfE: Gene Selection via Self-Expression for Single-Cell Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Solving inverse problems with autoencoders on learnt graphs.
Signal Process., 2022

K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection.
IEEE Geosci. Remote. Sens. Lett., 2022

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19.
J. Comput. Biol., 2022

Deep state space model for predicting cryptocurrency price.
Inf. Sci., 2022

Binary matrix completion on graphs: Application to collaborative filtering.
Digit. Signal Process., 2022

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Phaseless FMCW Multistatic Radar.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Deep Convolutional K-Means Clustering.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2022

Transductive Inversion via Deep Transform Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Transformed Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2021

Sequential Transform Learning.
ACM Trans. Knowl. Discov. Data, 2021

Kernelized Linear Autoencoder.
Neural Process. Lett., 2021

Recurrent dictionary learning for state-space models with an application in stock forecasting.
Neurocomputing, 2021

Matrix completion on learnt graphs: Application to collaborative filtering.
Expert Syst. Appl., 2021

SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems.
Expert Syst. Appl., 2021

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Compressing Deep Neural Network: A Black-Box System Identification Approach.
Proceedings of the International Joint Conference on Neural Networks, 2021

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

Clustering Friendly Dictionary Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Transformed K-means Clustering.
Proceedings of the 29th European Signal Processing Conference, 2021

Multi-Sensor Fusion Framework using Discriminative Autoencoders.
Proceedings of the 29th European Signal Processing Conference, 2021

Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification.
IEEE Trans. Smart Grid, 2020

Deep latent factor model for collaborative filtering.
Signal Process., 2020

Deeply transformed subspace clustering.
Signal Process., 2020

A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning.
Pattern Recognit., 2020

Graph transform learning.
Neural Networks, 2020

deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data.
J. Comput. Biol., 2020

Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning.
Neurocomputing, 2020

DeConFuse: a deep convolutional transform-based unsupervised fusion framework.
EURASIP J. Adv. Signal Process., 2020

Deep Convolutional Transform Learning - Extended version.
CoRR, 2020

Compressive Non-Intrusive Load Monitoring.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Multi-Label Auto-Encoder based Electrical Load Disaggregation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cluster Aware Deep Dictionary Learning for Single Cell Analysis.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Deep Matrix Factorization on Graphs: Application to Collaborative Filtering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Deep Convolutional Transform Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Transform Learning for Multi-Sensor Fusion.
Proceedings of the 28th European Signal Processing Conference, 2020

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning.
IEEE Trans. Smart Grid, 2019

Analysis Co-Sparse Coding for Energy Disaggregation.
IEEE Trans. Smart Grid, 2019

Blind Denoising Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., 2019

Matrix completion on multiple graphs: Application in collaborative filtering.
Signal Process., 2019

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition.
Neural Process. Lett., 2019

Recurrent transform learning.
Neural Networks, 2019

Label-Consistent Transform Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2019

Online single and multiple analysis dictionary learning-based approach for visual object tracking.
J. Electronic Imaging, 2019

Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis.
CoRR, 2019

Solving Inverse Problems in Imaging via Deep Dictionary Learning.
IEEE Access, 2019

Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings.
IEEE Access, 2019

Transform Learning Based Function Approximation for Regression and Forecasting.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Siamese Deep Dictionary Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Age and Gender Estimation via Deep Dictionary Learning Regression.
Proceedings of the International Joint Conference on Neural Networks, 2019

Supervised Kernel Transform Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Latent Factor Model for Predicting Drug Target Interactions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deeply Coupled Graph Structured Autoencoder for Domain Adaptation.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
Deep Sparse Coding for Non-Intrusive Load Monitoring.
IEEE Trans. Smart Grid, 2018

Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances.
IEEE Trans. Smart Grid, 2018

Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning.
Neural Process. Lett., 2018

Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization.
Neural Process. Lett., 2018

Graph structured autoencoder.
Neural Networks, 2018

MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis.
CoRR, 2018

Indian Regional Movie Dataset for Recommender Systems.
CoRR, 2018

Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements".
IEEE Access, 2018

Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements.
IEEE Access, 2018

Disaggregating Transform Learning for Non-Intrusive Load Monitoring.
IEEE Access, 2018

Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-spectral missing label prediction via restoration using deep residual dictionary learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hierarchical Autoencoder for Collaborative Filtering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Semi-coupled Transform Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Convolutional Transform Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Adaptive Deep Dictionary Learning for MRI Reconstruction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Discriminative Autoencoder.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Unsupervised Deep Transform Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Regressing Kernel Dictionary Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Machine Load Estimation Via Stacked Autoencoder Regression.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Transformed Locally Linear Manifold Clustering.
Proceedings of the 26th European Signal Processing Conference, 2018

Identity Aware Synthesis for Cross Resolution Face Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Hierarchical Representation Learning for Kinship Verification.
IEEE Trans. Image Process., 2017

Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning.
IEEE Trans. Inf. Forensics Secur., 2017

Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals.
IEEE Trans. Biomed. Eng., 2017

Kernel transform learning.
Pattern Recognit. Lett., 2017

Class sparsity signature based Restricted Boltzmann Machine.
Pattern Recognit., 2017

RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction.
Pattern Recognit., 2017

Face Verification via Class Sparsity Based Supervised Encoding.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Balancing accuracy and diversity in recommendations using matrix completion framework.
Knowl. Based Syst., 2017

Group sparse autoencoder.
Image Vis. Comput., 2017

DiABlO: Optimization based design for improving diversity in recommender system.
Inf. Sci., 2017

Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network.
Integr., 2017

Class-wise deep dictionary learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robust greedy deep dictionary learning for ECG arrhythmia classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Asymmetric stacked autoencoder.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Noisy deep dictionary learning: Application to Alzheimer's Disease classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Kernel group sparse representation based classifier for multimodal biometrics.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Greedy deep transform learning.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning autoencoders with low-rank weights.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Motion blur removal via coupled autoencoder.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Face Sketch Matching via Coupled Deep Transform Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Gender and ethnicity classification of Iris images using deep class-encoder.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Robust transform learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Joint-sparse dictionary learning: Denoising multiple measurement vectors.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Impulse denoising via transform learning.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

How to Train Your Neural Network with Dictionary Learning.
Proceedings of the 2017 Data Compression Conference, 2017

Deep Blind Compressed Sensing.
Proceedings of the 2017 Data Compression Conference, 2017

Noisy Deep Dictionary Learning.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

2016
Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Impulse denoising for hyper-spectral images: A blind compressed sensing approach.
Signal Process., 2016

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation.
IEEE Geosci. Remote. Sens. Lett., 2016

Removing sparse noise from hyperspectral images with sparse and low-rank penalties.
J. Electronic Imaging, 2016

Group sparse representation based classification for multi-feature multimodal biometrics.
Inf. Fusion, 2016

Greedy Deep Dictionary Learning.
CoRR, 2016

How to Train Your Deep Neural Network with Dictionary Learning.
CoRR, 2016

Deep Dictionary Learning.
IEEE Access, 2016

Greedy deep dictionary learning for hyperspectral image classification.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Sparse filtering based hyperspectral unmixing.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Real-time reconstruction of EEG signals from compressive measurements via deep learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Class-wise deep dictionaries for EEG classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Sparsely connected autoencoder.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust estimation for subspace based classifiers.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Compressive hyper-spectral imaging in the presence of real noise.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Alternate formulation for transform learning.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Stacked Robust Autoencoder for Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nuclear Norm Regularized Randomized Neural Network.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Semi Supervised Autoencoder.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Low rank group sparse representation based classifier for pose variation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust dictionary learning: Application to signal disaggregation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A sparse regression based approach for cuff-less blood pressure measurement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Nuclear norm regularized robust dictionary learning for energy disaggregation.
Proceedings of the 24th European Signal Processing Conference, 2016

Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery.
Proceedings of the 2016 Data Compression Conference, 2016

Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements.
Proceedings of the 2016 Data Compression Conference, 2016

Supervised Learning in Matrix Completion Framework for Recommender System Design.
Proceedings of the 21st International Conference on Management of Data, 2016

2015
High-resolution radar imaging of moving humans using doppler processing and compressed sensing.
IEEE Trans. Aerosp. Electron. Syst., 2015

Exploiting spatiospectral correlation for impulse denoising in hyperspectral images.
J. Electronic Imaging, 2015

Matrix completion incorporating auxiliary information for recommender system design.
Expert Syst. Appl., 2015

Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder.
CoRR, 2015

Blind Compressive Sensing Framework for Collaborative Filtering.
CoRR, 2015

Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals.
Biomed. Signal Process. Control., 2015

Exploiting inter-channel correlation in EEG signal reconstruction.
Biomed. Signal Process. Control., 2015

Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach.
Biomed. Signal Process. Control., 2015

A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users.
IEEE Access, 2015

Hyperspectral impulse denoising with sparse and low-rank penalties.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Compressive hyper-spectral imaging in the presence of impulse noise.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Blind hyperspectral denoising.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Blind compressive hyper-spectral imaging.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Mixed Gaussian and impulse denoising of hyperspectral images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Discriminative label consistent dictionary learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Frontal face recognition from video via rank-aware multiple measurement vector recovery.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Matrix factorization model using Kacmarz algorithm: Application in sensor localization.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Low-rank matrix recovery from non-linear observations.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Kronecker Compressed Sensing formulation for energy efficient EEG sensing.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Scale-rotation invariant features from Non-Subsampled Contourlets.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

SVD free matrix completion with online bias correction for Recommender systems.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Multi-spectral demosaicing: A joint-sparse elastic-net formulation.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014
A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network.
Sensors, 2014

Non-convex row-sparse multiple measurement vector analysis prior formulation for EEG signal reconstruction.
Biomed. Signal Process. Control., 2014

Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

A Blind Compressed Sensing formulation for collaborative filtering.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Non linear sparse recovery algorithm.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Matrix Recovery Using Split Bregman.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Parallelizing sparse recovery algorithms: A stochastic approach.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Improved MRI reconstruction via non-convex elastic net.
Proceedings of the IEEE International Conference on Acoustics, 2014

Accelerating low-rank matrix completion on GPUs.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Metadata based recommender systems.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Energy efficient acquisition and reconstruction of EEG signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design.
Proceedings of the 20th International Conference on Management of Data, 2014

Compressive sensing multi-spectral demosaicing from single sensor architecture.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images.
Sensors, 2013

Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model.
Sensors, 2013

Gabor based analysis prior formulation for EEG signal reconstruction.
Biomed. Signal Process. Control., 2013

Multi-spectral demosaicing technique for single-sensor imaging.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Erratum: Dynamic CT Reconstruction by Smoothed Rank Minimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Dynamic CT Reconstruction by Smoothed Rank Minimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2013

Generalized Non-linear Sparse Classifier.
Proceedings of the 21st European Signal Processing Conference, 2013

Focuss algorithm for rank aware row-sparse MMV recovery.
Proceedings of the 21st European Signal Processing Conference, 2013

Exploiting rank deficiency for MR image reconstruction from multiple partial K-space scans.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Non-linear sparse and group sparse classifier.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
Compressed Sensing Based Real-Time Dynamic MRI Reconstruction.
IEEE Trans. Medical Imaging, 2012

FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI.
IEEE Signal Process. Lett., 2012

On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study.
Signal Process. Image Commun., 2012

Algorithms to Approximately Solve NP Hard Row-Sparse MMV Recovery Problem: Application to Compressive Color Imaging.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A focuss based method for low rank matrix recovery.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Synthesis and analysis prior algorithms for joint-sparse recovery.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Face recognition from video: An MMV recovery approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Some empirical advances in matrix completion.
Signal Process., 2011

Increasing energy efficiency in sensor networks: blue noise sampling and non-convex matrix completion.
Int. J. Sens. Networks, 2011

Compressed sensing based MR image reconstruction from multiple partial K-space scans.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

2010
Robust Classifiers for Data Reduced via Random Projections.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Compressed sensing of color images.
Signal Process., 2010

Improved Group Sparse Classifier.
Pattern Recognit. Lett., 2010

Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Compressive color imaging with group-sparsity on analysis prior.
Proceedings of the International Conference on Image Processing, 2010

Non-convex group sparsity: Application to color imaging.
Proceedings of the IEEE International Conference on Acoustics, 2010

A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

2009
Image compression by sparse PCA coding in curvelet domain.
Signal Image Video Process., 2009

A comparative study in wavelets, curvelets and contourlets as feature sets for pattern recognition.
Int. Arab J. Inf. Technol., 2009

Classification via group sparsity promoting regularization.
Proceedings of the IEEE International Conference on Acoustics, 2009

Classification by Linearity Assumption.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

Discriminative SIFT features for face recognition.
Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009

2008
Frontal Face Recognition from Video.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Single image per person face recognition with images synthesized by non-linear approximation.
Proceedings of the International Conference on Image Processing, 2008

Pseudo-Fisherface method for single image per person face recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Face Recognition by Multiresolution Contourlet Transform on Bit Quantized Facial Images.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Face Recognition by Curvelet Based Feature Extraction.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
A MLP Classifier for Both Printed and Handwritten Bangla Numeral Recognition.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006


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