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2020 – today
- 2024
[j96]Anurag Goel
, Angshul Majumdar:
Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection. Earth Sci. Informatics 17(3): 2727-2735 (2024)- [j95]Shalini Sharma, Angshul Majumdar:
Corrigendum to "Deep state-space model for predicting cryptocurrency price" [Inform. Sci. 618 (2022) 417-433]. Inf. Sci. 660: 120031 (2024) - [j94]Anurag Goel, Angshul Majumdar:
Contrastive deep convolutional transform k-means clustering. Inf. Sci. 661: 120191 (2024) - [j93]Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. Signal Process. 224: 109597 (2024) - [j92]Ghassan AlRegib, Mohit Prabhushankar, Kiran Kokilepersaud, Prithwijit Chowdhury, Zoe Fowler, Stephanie Trejo Corona, Lucas A. Thomaz, Angshul Majumdar:
Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 41(4): 96-104 (2024) - [c151]Arijit Ukil, Angshul Majumdar, Antonio J. Jara, João Gama:
Deep Neural Network Model Compression and Signal Processing. ICASSP Workshops 2024: 179-183 - [c150]Arijit Ukil, Ishan Sahu, Mridul Biswas, Arpan Pal, Angshul Majumdar:
Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction. ICASSP Workshops 2024: 330-334 - 2023
- [j91]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227: 120238 (2023) - [j90]Jyoti Maggu, Angshul Majumdar:
Kernelized transformed subspace clustering with geometric weights for non-linear manifolds. Neurocomputing 520: 141-151 (2023) - [j89]Davide Salvi, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Matthew C. Stamm, Lucio Marcenaro, Angshul Majumdar:
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40(6): 92-98 (2023) - [j88]Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva:
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40(7): 94-100 (2023) - [j87]Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27(5): 2565-2574 (2023) - [c149]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO 2023: 1708-1712 - [c148]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO 2023: 1883-1887 - [c147]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP 2023: 1-5 - [i47]Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva:
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition. CoRR abs/2309.12428 (2023) - [i46]Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux, Victor Elvira:
Deep State-Space Model for Predicting Cryptocurrency Price. CoRR abs/2311.14731 (2023) - 2022
- [j86]Divyanshu Talwar, Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar:
Binary matrix completion on graphs: Application to collaborative filtering. Digit. Signal Process. 122: 103350 (2022) - [j85]Shalini Sharma, Angshul Majumdar:
Deep state space model for predicting cryptocurrency price. Inf. Sci. 618: 417-433 (2022) - [j84]Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar:
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. J. Comput. Biol. 29(5): 441-452 (2022) - [j83]Anurag Goel, Angshul Majumdar:
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j82]Anurag Goel, Angshul Majumdar:
K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j81]Angshul Majumdar:
Solving inverse problems with autoencoders on learnt graphs. Signal Process. 190: 108300 (2022) - [j80]Priyadarshini Rai, Debarka Sengupta, Angshul Majumdar:
SelfE: Gene Selection via Self-Expression for Single-Cell Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 624-632 (2022) - [j79]Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar:
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3332-3339 (2022) - [j78]Angshul Majumdar:
Trainingless Energy Disaggregation Without Plug-Level Sensing. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j77]Angshul Majumdar:
Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining. IEEE Trans. Instrum. Meas. 71: 1-4 (2022) - [j76]Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16(5): 91:1-91:6 (2022) - [j75]Shikha Singh, Angshul Majumdar:
Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 13(1): 4-7 (2022) - [c146]R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P:
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. EUSIPCO 2022: 474-478 - [c145]Jyoti Maggu, Shalini Sharma, Angshul Majumdar:
Transductive Inversion via Deep Transform Learning. EUSIPCO 2022: 1357-1361 - [c144]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar:
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. EUSIPCO 2022: 1926-1930 - [c143]Angshul Majumdar:
Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery. ICASSP 2022: 4423-4427 - [c142]Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) 2022: 171-179 - [c141]Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP 2022: 206-210 - [c140]Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional K-Means Clustering. ICIP 2022: 211-215 - [c139]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, R. Krishna Kanth, Tapas Chakravarty, Kriti Kumar, Arpan Pal:
Phaseless FMCW Multistatic Radar. IEEE SENSORS 2022: 1-4 - [c138]Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal:
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys 2022: 973-979 - [i45]Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR abs/2210.10784 (2022) - 2021
- [j74]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169: 114206 (2021) - [j73]Aanchal Mongia, Angshul Majumdar:
Matrix completion on learnt graphs: Application to collaborative filtering. Expert Syst. Appl. 185: 115652 (2021) - [j72]Shalini Sharma, Víctor Elvira, Emilie Chouzenoux, Angshul Majumdar:
Recurrent dictionary learning for state-space models with an application in stock forecasting. Neurocomputing 450: 1-13 (2021) - [j71]Angshul Majumdar:
Kernelized Linear Autoencoder. Neural Process. Lett. 53(2): 1597-1614 (2021) - [j70]Shalini Sharma, Angshul Majumdar:
Sequential Transform Learning. ACM Trans. Knowl. Discov. Data 15(5): 86:1-86:18 (2021) - [j69]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1796-1801 (2021) - [c137]Arijit Ukil, Ishan Sahu, Angshul Majumdar, Sai Chander Racha, Gitesh Kulkarni, Anirban Dutta Choudhury, Sundeep Khandelwal, Avik Ghose, Arpan Pal:
Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices. EMBC 2021: 886-889 - [c136]Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra:
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO 2021: 1351-1355 - [c135]Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. EUSIPCO 2021: 1526-1530 - [c134]Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra:
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP 2021: 1640-1644 - [c133]Anurag Goel, Angshul Majumdar:
Clustering Friendly Dictionary Learning. ICONIP (1) 2021: 549-557 - [c132]Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN 2021: 1-7 - [c131]Ishan Sahu, Arpan Pal, Arijit Ukil, Angshul Majumdar:
Compressing Deep Neural Network: A Black-Box System Identification Approach. IJCNN 2021: 1-8 - [c130]Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty:
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD 2021: 2732-2742 - [i44]Anurag Goel, Angshul Majumdar:
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/2111.13920 (2021) - [i43]Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. CoRR abs/2111.13921 (2021) - 2020
- [j68]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020(1): 26 (2020) - [j67]Vanika Singhal, Angshul Majumdar:
Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning. Neurocomputing 408: 135-143 (2020) - [j66]Aanchal Mongia, Debarka Sengupta, Angshul Majumdar:
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. J. Comput. Biol. 27(7): 1011-1019 (2020) - [j65]Angshul Majumdar:
Graph transform learning. Neural Networks 128: 248-253 (2020) - [j64]Vanika Singhal, Angshul Majumdar:
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. Pattern Recognit. 100: 107163 (2020) - [j63]Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar:
Deep latent factor model for collaborative filtering. Signal Process. 169: 107366 (2020) - [j62]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deeply transformed subspace clustering. Signal Process. 174: 107628 (2020) - [j61]Shikha Singh, Angshul Majumdar:
Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification. IEEE Trans. Smart Grid 11(2): 1799-1801 (2020) - [c129]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO 2020: 1986-1990 - [c128]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO 2020: 1996-2000 - [c127]Aanchal Mongia, Angshul Majumdar:
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. ICASSP 2020: 1324-1328 - [c126]Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP 2020: 4287-4291 - [c125]Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar:
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. ICASSP 2020: 8339-8343 - [c124]Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta:
Cluster Aware Deep Dictionary Learning for Single Cell Analysis. ICONIP (5) 2020: 62-69 - [c123]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning. ICONIP (5) 2020: 300-307 - [c122]Aanchal Mongia, Vidit Jain, Angshul Majumdar:
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. ICONIP (4) 2020: 754-762 - [c121]Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra:
Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN 2020: 1-6 - [c120]Shikha Singh, Angshul Majumdar, Stephen Makonin:
Compressive Non-Intrusive Load Monitoring. BuildSys@SenSys 2020: 290-293 - [i42]Anupriya Gogna, Angshul Majumdar:
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. CoRR abs/2001.04349 (2020) - [i41]Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar:
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19. CoRR abs/2009.10333 (2020) - [i40]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning - Extended version. CoRR abs/2010.01011 (2020) - [i39]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR abs/2011.04317 (2020) - [i38]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR abs/2011.04337 (2020) - [i37]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR abs/2011.04364 (2020)
2010 – 2019
- 2019
- [j60]D. John Lewis, Vanika Singhal, Angshul Majumdar:
Solving Inverse Problems in Imaging via Deep Dictionary Learning. IEEE Access 7: 37039-37049 (2019) - [j59]Megha Gaur, Stephen Makonin, Ivan V. Bajic, Angshul Majumdar:
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. IEEE Access 7: 62721-62733 (2019) - [j58]Divya Sitani, A. Venkata Subramanyam, Angshul Majumdar:
Online single and multiple analysis dictionary learning-based approach for visual object tracking. J. Electronic Imaging 28(1): 013004 (2019) - [j57]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(9): 1502-1506 (2019) - [j56]Angshul Majumdar, Megha Gupta:
Recurrent transform learning. Neural Networks 118: 271-279 (2019) - [j55]Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. Neural Process. Lett. 49(3): 1723-1735 (2019) - [j54]Aanchal Mongia, Angshul Majumdar:
Matrix completion on multiple graphs: Application in collaborative filtering. Signal Process. 165: 144-148 (2019) - [j53]Angshul Majumdar:
Blind Denoising Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 30(1): 312-317 (2019) - [j52]Shikha Singh, Angshul Majumdar:
Analysis Co-Sparse Coding for Energy Disaggregation. IEEE Trans. Smart Grid 10(1): 462-470 (2019) - [j51]Vanika Singhal, Jyoti Maggu, Angshul Majumdar:
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. IEEE Trans. Smart Grid 10(3): 2969-2978 (2019) - [c119]Angshul Majumdar:
Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. COMAD/CODS 2019: 94-102 - [c118]Aanchal Mongia, Vidit Jain, Emilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Predicting Drug Target Interactions. ICASSP 2019: 1254-1258 - [c117]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. ICASSP 2019: 8345-8349 - [c116]Jyoti Maggu, Angshul Majumdar:
Supervised Kernel Transform Learning. IJCNN 2019: 1-8 - [c115]Vanika Singhal, Angshul Majumdar:
Age and Gender Estimation via Deep Dictionary Learning Regression. IJCNN 2019: 1-8 - [c114]Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Siamese Deep Dictionary Learning. IJCNN 2019: 1-6 - [c113]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML 2019: 14-25 - [i36]Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. CoRR abs/1910.07724 (2019) - [i35]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring. CoRR abs/1910.08149 (2019) - [i34]Vanika Singhal, Angshul Majumdar:
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning. CoRR abs/1912.04690 (2019) - [i33]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. CoRR abs/1912.04734 (2019) - [i32]Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Collaborative Filtering. CoRR abs/1912.04754 (2019) - [i31]Megha Gupta, Angshul Majumdar:
Recurrent Transform Learning. CoRR abs/1912.05198 (2019) - [i30]Jyoti Maggu, Prerna Singh, Angshul Majumdar:
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis. CoRR abs/1912.06631 (2019) - [i29]Angshul Majumdar:
Blind Denoising Autoencoder. CoRR abs/1912.07358 (2019) - [i28]Shikha Singh, Angshul Majumdar:
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. CoRR abs/1912.07360 (2019) - [i27]Janki Mehta, Angshul Majumdar:
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction. CoRR abs/1912.07519 (2019) - [i26]Vanika Singhal, Jyoti Maggu, Angshul Majumdar:
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. CoRR abs/1912.07568 (2019) - [i25]Vanika Singhal, Angshul Majumdar:
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. CoRR abs/1912.10801 (2019) - [i24]Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1912.10803 (2019) - [i23]Vanika Singhal, Angshul Majumdar:
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1912.10804 (2019) - [i22]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label Consistent Transform Learning for Hyperspectral Image Classification. CoRR abs/1912.11405 (2019) - [i21]Anupriya Gogna, Angshul Majumdar, Rabab Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. CoRR abs/1912.12127 (2019) - [i20]Shikha Singh, Angshul Majumdar:
Deep Sparse Coding for Non-Intrusive Load Monitoring. CoRR abs/1912.12128 (2019) - [i19]Jyoti Maggu, Angshul Majumdar:
Kernel Transform Learning. CoRR abs/1912.12129 (2019) - [i18]Shikha Singh, Angshul Majumdar:
Analysis Co-Sparse Coding for Energy Disaggregation. CoRR abs/1912.12130 (2019) - [i17]Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. CoRR abs/1912.12131 (2019) - 2018
- [j50]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements. IEEE Access 6: 545-553 (2018) - [j49]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements". IEEE Access 6: 32676 (2018) - [j48]Megha Gaur, Angshul Majumdar:
Disaggregating Transform Learning for Non-Intrusive Load Monitoring. IEEE Access 6: 46256-46265 (2018) - [j47]Angshul Majumdar:
Graph structured autoencoder. Neural Networks 106: 271-280 (2018) - [j46]Vanika Singhal, Angshul Majumdar:
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. Neural Process. Lett. 47(3): 799-814 (2018) - [j45]Kavya Gupta, Angshul Majumdar:
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization. Neural Process. Lett. 48(1): 615-629 (2018) - [j44]Vanika Singhal, Angshul Majumdar:
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 5019-5028 (2018) - [j43]Manoj Gulati, Shobha Sundar Ram, Angshul Majumdar, Amarjeet Singh:
Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances. IEEE Trans. Smart Grid 9(4): 3716-3726 (2018) - [j42]Shikha Singh, Angshul Majumdar:
Deep Sparse Coding for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 9(5): 4669-4678 (2018) - [c112]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. CVPR Workshops 2018: 479-488 - [c111]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Locally Linear Manifold Clustering. EUSIPCO 2018: 1057-1061 - [c110]Tulika Bose, Angshul Majumdar, Tanushyam Chattopadhyay:
Machine Load Estimation Via Stacked Autoencoder Regression. ICASSP 2018: 2126-2130 - [c109]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Regressing Kernel Dictionary Learning. ICASSP 2018: 2756-2760 - [c108]Jyoti Maggu, Angshul Majumdar:
Unsupervised Deep Transform Learning. ICASSP 2018: 6782-6786 - [c107]Angshuman Paul, Angshul Majumdar, Dipti Prasad Mukherjee:
Discriminative Autoencoder. ICIP 2018: 3049-3053 - [c106]D. John Lewis, Vanika Singhal, Angshul Majumdar:
Adaptive Deep Dictionary Learning for MRI Reconstruction. ICONIP (1) 2018: 3-11 - [c105]Jyoti Maggu, Angshul Majumdar:
Semi-coupled Transform Learning. ICONIP (3) 2018: 141-150 - [c104]Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Convolutional Transform Learning. ICONIP (3) 2018: 162-174 - [c103]Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. IJCNN 2018: 1-8 - [c102]Megha Gupta, Angshul Majumdar:
Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring. IJCNN 2018: 1-6 - [c101]Shantanu Jain, Angshul Majumdar:
Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems. IJCNN 2018: 1-8 - [c100]Shubham Maheshwari, Angshul Majumdar:
Hierarchical Autoencoder for Collaborative Filtering. IJCNN 2018: 1-7 - [c99]Karthik Seemakurthy, Jayavardhana Gubbi, Shailesh S. Deshpande, Balamuralidhar Purushothaman, Angshul Majumdar:
Multi-spectral missing label prediction via restoration using deep residual dictionary learning. IJCNN 2018: 1-8 - [c98]Vanika Singhal, Angshul Majumdar:
Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification. IJCNN 2018: 1-7 - [i16]Prerna Agarwal, Richa Verma, Angshul Majumdar:
Indian Regional Movie Dataset for Recommender Systems. CoRR abs/1801.02203 (2018) - [i15]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Angshul Majumdar:
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis. CoRR abs/1802.08057 (2018) - [i14]Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. CoRR abs/1805.10557 (2018) - [i13]Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. CoRR abs/1812.09878 (2018) - [i12]Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Motion Blur removal via Coupled Autoencoder. CoRR abs/1812.09888 (2018) - 2017
- [j41]Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar:
Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network. Integr. 58: 295-302 (2017) - [j40]Anupriya Gogna, Angshul Majumdar:
DiABlO: Optimization based design for improving diversity in recommender system. Inf. Sci. 378: 59-74 (2017) - [j39]Anush Sankaran, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Group sparse autoencoder. Image Vis. Comput. 60: 64-74 (2017) - [j38]Anupriya Gogna, Angshul Majumdar:
Balancing accuracy and diversity in recommendations using matrix completion framework. Knowl. Based Syst. 125: 83-95 (2017) - [j37]Angshul Majumdar, Richa Singh, Mayank Vatsa:
Face Verification via Class Sparsity Based Supervised Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1273-1280 (2017) - [j36]Anush Sankaran, Gaurav Goswami, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Class sparsity signature based Restricted Boltzmann Machine. Pattern Recognit. 61: 674-685 (2017) - [j35]Janki Mehta, Angshul Majumdar:
RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction. Pattern Recognit. 63: 499-510 (2017) - [j34]Jyoti Maggu, Angshul Majumdar:
Kernel transform learning. Pattern Recognit. Lett. 98: 117-122 (2017) - [j33]Anupriya Gogna, Angshul Majumdar, Rabab Kreidieh Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. IEEE Trans. Biomed. Eng. 64(9): 2196-2205 (2017) - [j32]Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5274-5283 (2017) - [j31]Ishan Manjani, Snigdha Tariyal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning. IEEE Trans. Inf. Forensics Secur. 12(7): 1713-1723 (2017) - [j30]Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. IEEE Trans. Image Process. 26(1): 289-302 (2017) - [c97]Protim Bhattacharjee, Shisagnee Banerjee, Manoj Gulati, Angshul Majumdar, Shobha Sundar Ram:
Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification. CODS 2017: 2:1-2:10 - [c96]Vanika Singhal, Angshul Majumdar:
Noisy Deep Dictionary Learning. CODS 2017: 16:1-16:10 - [c95]Shikha Singh, Vanika Singhal, Angshul Majumdar:
Deep Blind Compressed Sensing. DCC 2017: 459 - [c94]Vanika Singhal, Shikha Singh, Angshul Majumdar:
How to Train Your Neural Network with Dictionary Learning. DCC 2017: 460 - [c93]Prerna Singh, Ramy Hussein, Angshul Majumdar, Rabab K. Ward:
Joint-sparse dictionary learning: Denoising multiple measurement vectors. GlobalSIP 2017: 1160-1164 - [c92]Jyoti Maggu, Ramy Hussein, Angshul Majumdar, Rabab K. Ward:
Impulse denoising via transform learning. GlobalSIP 2017: 1250-1254 - [c91]Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. ICAPR 2017: 1-6 - [c90]Jyoti Maggu, Angshul Majumdar:
Robust transform learning. ICASSP 2017: 1467-1471 - [c89]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and ethnicity classification of Iris images using deep class-encoder. IJCB 2017: 666-673 - [c88]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. ICCV 2017: 5429-5438 - [c87]Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Motion blur removal via coupled autoencoder. ICIP 2017: 480-484 - [c86]Jyoti Maggu, Angshul Majumdar:
Greedy deep transform learning. ICIP 2017: 1822-1826 - [c85]Kavya Gupta, Angshul Majumdar:
Learning autoencoders with low-rank weights. ICIP 2017: 3899-3903 - [c84]Angshul Majumdar, Aditay Tripathi:
Asymmetric stacked autoencoder. IJCNN 2017: 911-918 - [c83]Vanika Singhal, Prerna Khurana, Angshul Majumdar:
Class-wise deep dictionary learning. IJCNN 2017: 1125-1132 - [c82]Angshul Majumdar, Vanika Singhal:
Noisy deep dictionary learning: Application to Alzheimer's Disease classification. IJCNN 2017: 2679-2683 - [c81]Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar:
Kernel group sparse representation based classifier for multimodal biometrics. IJCNN 2017: 2894-2901 - [c80]Angshul Majumdar, Anant Jain:
Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. IJCNN 2017: 3656-3663 - [c79]Angshul Majumdar, Rabab Kreidieh Ward:
Robust greedy deep dictionary learning for ECG arrhythmia classification. IJCNN 2017: 4400-4407 - [i11]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder. CoRR abs/1710.02856 (2017) - [i10]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. CoRR abs/1710.02914 (2017) - 2016
- [j29]Snigdha Tariyal, Angshul Majumdar, Richa Singh, Mayank Vatsa:
Deep Dictionary Learning. IEEE Access 4: 10096-10109 (2016) - [j28]Gaurav Goswami, Paritosh Mittal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Group sparse representation based classification for multi-feature multimodal biometrics. Inf. Fusion 32: 3-12 (2016) - [j27]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Removing sparse noise from hyperspectral images with sparse and low-rank penalties. J. Electronic Imaging 25(2): 020501 (2016) - [j26]Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. IEEE Geosci. Remote. Sens. Lett. 13(3): 442-446 (2016) - [j25]Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal, Pravesh Biyani:
Impulse denoising for hyper-spectral images: A blind compressed sensing approach. Signal Process. 119: 136-141 (2016) - [j24]Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4257-4266 (2016) - [c78]Anupriya Gogna, Angshul Majumdar:
Supervised Learning in Matrix Completion Framework for Recommender System Design. COMAD 2016: 35-46 - [c77]Anupriya Gogna, Angshul Majumdar:
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. DCC 2016: 597 - [c76]Kavya Gupta, Ankita Raj, Angshul Majumdar:
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery. DCC 2016: 599 - [c75]Megha Gupta, Angshul Majumdar:
Nuclear norm regularized robust dictionary learning for energy disaggregation. EUSIPCO 2016: 677-681 - [c74]Monika Jain, Niranjan Kumar, Sujay Deb, Angshul Majumdar:
A sparse regression based approach for cuff-less blood pressure measurement. ICASSP 2016: 789-793 - [c73]Angshul Majumdar, Rabab Kreidieh Ward:
Robust dictionary learning: Application to signal disaggregation. ICASSP 2016: 2469-2473 - [c72]Shivangi Yadav, Maneet Singh, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Low rank group sparse representation based classifier for pose variation. ICIP 2016: 2986-2990 - [c71]Anupriya Gogna, Angshul Majumdar:
Semi Supervised Autoencoder. ICONIP (2) 2016: 82-89 - [c70]Anupriya Gogna, Angshul Majumdar:
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. ICONIP (2) 2016: 136-143 - [c69]Anupriya Gogna, Angshul Majumdar:
Nuclear Norm Regularized Randomized Neural Network. ICONIP (2) 2016: 144-151 - [c68]Vanika Singhal, Anupriya Gogna, Angshul Majumdar:
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. ICONIP (4) 2016: 337-344 - [c67]Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand:
Stacked Robust Autoencoder for Classification. ICONIP (3) 2016: 600-607 - [c66]Jyoti Maggu, Angshul Majumdar:
Alternate formulation for transform learning. ICVGIP 2016: 50:1-50:8 - [c65]Hemant Kumar Aggarwal, Angshul Majumdar:
Compressive hyper-spectral imaging in the presence of real noise. IGARSS 2016: 4371-4374 - [c64]Kavya Gupta, Angshul Majumdar:
Sparsely connected autoencoder. IJCNN 2016: 1940-1947 - [c63]Angshul Majumdar, Rabab Kreidieh Ward:
Real-time reconstruction of EEG signals from compressive measurements via deep learning. IJCNN 2016: 2856-2863 - [c62]Prerna Khurana, Angshul Majumdar, Rabab Kreidieh Ward:
Class-wise deep dictionaries for EEG classification. IJCNN 2016: 3556-3563 - [c61]Hemant Kumar Aggarwal, Angshul Majumdar:
Robust estimation for subspace based classifiers. IJCNN 2016: 3923-3929 - [c60]Hemant Kumar Aggarwal, Angshul Majumdar:
Sparse filtering based hyperspectral unmixing. WHISPERS 2016: 1-4 - [c59]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Greedy deep dictionary learning for hyperspectral image classification. WHISPERS 2016: 1-4 - [i9]Snigdha Tariyal, Angshul Majumdar, Richa Singh, Mayank Vatsa:
Greedy Deep Dictionary Learning. CoRR abs/1602.00203 (2016) - [i8]Shikha Singh, Vanika Singhal, Angshul Majumdar:
Deep Blind Compressed Sensing. CoRR abs/1612.07453 (2016) - [i7]Vanika Singhal, Shikha Singh, Angshul Majumdar:
How to Train Your Deep Neural Network with Dictionary Learning. CoRR abs/1612.07454 (2016) - 2015
- [j23]Anupriya Gogna, Angshul Majumdar:
A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users. IEEE Access 3: 2803-2813 (2015) - [j22]Ankita Shukla, Angshul Majumdar:
Exploiting inter-channel correlation in EEG signal reconstruction. Biomed. Signal Process. Control. 18: 49-55 (2015) - [j21]Ankita Shukla, Angshul Majumdar:
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals. Biomed. Signal Process. Control. 18: 174-178 (2015) - [j20]Angshul Majumdar, Rabab K. Ward:
Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach. Biomed. Signal Process. Control. 20: 1-9 (2015) - [j19]Anupriya Gogna, Angshul Majumdar:
Matrix completion incorporating auxiliary information for recommender system design. Expert Syst. Appl. 42(14): 5789-5799 (2015) - [j18]Hemant Kumar Aggarwal, Angshul Majumdar:
Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. J. Electronic Imaging 24(1): 013027 (2015) - [j17]Shobha Sundar Ram, Angshul Majumdar:
High-resolution radar imaging of moving humans using doppler processing and compressed sensing. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1279-1287 (2015) - [c58]Hemant Kumar Aggarwal, Angshul Majumdar:
Multi-spectral demosaicing: A joint-sparse elastic-net formulation. ICAPR 2015: 1-5 - [c57]Anupriya Gogna, Angshul Majumdar:
SVD free matrix completion with online bias correction for Recommender systems. ICAPR 2015: 1-5 - [c56]Angshul Majumdar:
Scale-rotation invariant features from Non-Subsampled Contourlets. ICAPR 2015: 1-6 - [c55]Ankita Shukla, Angshul Majumdar, Rabab K. Ward:
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. ICAPR 2015: 1-6 - [c54]Angshul Majumdar, Rabab K. Ward:
Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction. ICASSP 2015: 778-782 - [c53]Angshul Majumdar, Ankita Shukla, Rabab K. Ward:
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. ICASSP 2015: 837-841 - [c52]Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal:
Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. ICASSP 2015: 1260-1264 - [c51]Anupriya Gogna, Angshul Majumdar:
Matrix factorization model using Kacmarz algorithm: Application in sensor localization. DSP 2015: 219-223 - [c50]Protim Bhattacharjee, Prerna Khurana, Angshul Majumdar:
Low-rank matrix recovery from non-linear observations. DSP 2015: 623-627 - [c49]Angshul Majumdar:
Frontal face recognition from video via rank-aware multiple measurement vector recovery. DSP 2015: 1232-1236 - [c48]Angshul Majumdar:
Discriminative label consistent dictionary learning. ICIP 2015: 1016-1020 - [c47]Angshul Majumdar, Rabab Kreidieh Ward:
Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction. ICIP 2015: 4550-4554 - [c46]Hemant Kumar Aggarwal, Angshul Majumdar:
Mixed Gaussian and impulse denoising of hyperspectral images. IGARSS 2015: 429-432 - [c45]Hemant Kumar Aggarwal, Angshul Majumdar:
Blind compressive hyper-spectral imaging. IGARSS 2015: 3493-3496 - [c44]Hemant Kumar Aggarwal, Angshul Majumdar:
Blind hyperspectral denoising. NCVPRIPG 2015: 1-4 - [c43]Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Compressive hyper-spectral imaging in the presence of impulse noise. WHISPERS 2015: 1-4 - [c42]Snigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar:
Hyperspectral impulse denoising with sparse and low-rank penalties. WHISPERS 2015: 1-4 - [i6]Angshul Majumdar:
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder. CoRR abs/1503.06383 (2015) - [i5]Anupriya Gogna, Angshul Majumdar:
Blind Compressive Sensing Framework for Collaborative Filtering. CoRR abs/1505.01621 (2015) - [i4]Kavya Gupta, Ankita Raj, Angshul Majumdar:
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery. CoRR abs/1512.07709 (2015) - [i3]Anupriya Gogna, Angshul Majumdar:
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements. CoRR abs/1512.07712 (2015) - 2014
- [j16]Angshul Majumdar, Rabab K. Ward:
Non-convex row-sparse multiple measurement vector analysis prior formulation for EEG signal reconstruction. Biomed. Signal Process. Control. 13: 142-147 (2014) - [j15]Angshul Majumdar, Anupriya Gogna, Rabab K. Ward:
A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network. Sensors 14(9): 15729-15748 (2014) - [c41]Hemant Kumar Aggarwal, Angshul Majumdar:
Compressive sensing multi-spectral demosaicing from single sensor architecture. ChinaSIP 2014: 334-338 - [c40]Anupriya Gogna, Angshul Majumdar:
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. COMAD 2014: 29-37 - [c39]Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar:
Energy efficient acquisition and reconstruction of EEG signals. EMBC 2014: 1274-1277 - [c38]Achal Shah, Angshul Majumdar:
Accelerating low-rank matrix completion on GPUs. ICACCI 2014: 182-187 - [c37]Paritosh Mittal, Aishwarya Jain, Angshul Majumdar:
Metadata based recommender systems. ICACCI 2014: 2659-2664 - [c36]Angshul Majumdar, Rabab K. Ward:
Improved MRI reconstruction via non-convex elastic net. ICASSP 2014: 6924-6928 - [c35]Achal Shah, Angshul Majumdar:
Parallelizing sparse recovery algorithms: A stochastic approach. DSP 2014: 124-129 - [c34]Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar:
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP 2014: 1302-1306 - [c33]Hemant Kumar Aggarwal, Angshul Majumdar:
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. ICPR 2014: 1014-1019 - [c32]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix Recovery Using Split Bregman. ICPR 2014: 1031-1036 - [c31]Hemant Kumar Aggarwal, Angshul Majumdar:
Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. ICVGIP 2014: 10:1-10:7 - [c30]Hemant Kumar Aggarwal, Angshul Majumdar:
Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. IGARSS 2014: 2011-2014 - [c29]Achal Shah, Angshul Majumdar:
Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm. ISSPIT 2014: 91-95 - [c28]Pallavi Das, Mansi Jain, Angshul Majumdar:
Non linear sparse recovery algorithm. ISSPIT 2014: 327-332 - [c27]Anuj Rajani, Paritosh Mittal, Aishwarya Jain, Angshul Majumdar:
A Blind Compressed Sensing formulation for collaborative filtering. ISSPIT 2014: 438-443 - [i2]Hemant Kumar Aggarwal, Angshul Majumdar:
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. CoRR abs/1401.2288 (2014) - 2013
- [j14]Mir Mohsina, Angshul Majumdar:
Gabor based analysis prior formulation for EEG signal reconstruction. Biomed. Signal Process. Control. 8(6): 951-955 (2013) - [j13]Angshul Majumdar, Rabab K. Ward:
Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images. Sensors 13(3): 3902-3921 (2013) - [j12]Angshul Majumdar, Kunal Narayan Chaudhury, Rabab K. Ward:
Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model. Sensors 13(12): 16714-16735 (2013) - [c26]Angshul Majumdar, Rabab K. Ward:
Non-linear sparse and group sparse classifier. CCECE 2013: 1-4 - [c25]Angshul Majumdar, Rabab K. Ward:
Exploiting rank deficiency for MR image reconstruction from multiple partial K-space scans. CCECE 2013: 1-4 - [c24]Angshul Majumdar, Rabab K. Ward, Tyseer Aboulnasr:
Focuss algorithm for rank aware row-sparse MMV recovery. EUSIPCO 2013: 1-5 - [c23]Angshul Majumdar, Rabab K. Ward, Tyseer Aboulnasr:
Generalized Non-linear Sparse Classifier. EUSIPCO 2013: 1-5 - [c22]Angshul Majumdar, Rabab K. Ward:
Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction. ICASSP 2013: 998-1002 - [c21]Angshul Majumdar, Rabab K. Ward:
Dynamic CT Reconstruction by Smoothed Rank Minimization. MICCAI (3) 2013: 131-138 - [c20]Angshul Majumdar, Rabab K. Ward:
Erratum: Dynamic CT Reconstruction by Smoothed Rank Minimization. MICCAI (3) 2013 - [c19]Hemant Kumar Aggarwal, Angshul Majumdar:
Multi-spectral demosaicing technique for single-sensor imaging. NCVPRIPG 2013: 1-4 - [i1]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix recovery using Split Bregman. CoRR abs/1312.6872 (2013) - 2012
- [j11]Angshul Majumdar, Rabab K. Ward, Tyseer Aboulnasr:
Algorithms to Approximately Solve NP Hard Row-Sparse MMV Recovery Problem: Application to Compressive Color Imaging. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 362-369 (2012) - [j10]Angshul Majumdar, Rabab K. Ward:
On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study. Signal Process. Image Commun. 27(9): 1035-1048 (2012) - [j9]Angshul Majumdar:
FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI. IEEE Signal Process. Lett. 19(5): 315-318 (2012) - [j8]Angshul Majumdar, Rabab K. Ward, Tyseer Aboulnasr:
Compressed Sensing Based Real-Time Dynamic MRI Reconstruction. IEEE Trans. Medical Imaging 31(12): 2253-2266 (2012) - [c18]Angshul Majumdar, Rabab K. Ward:
Face recognition from video: An MMV recovery approach. ICASSP 2012: 2221-2224 - [c17]Angshul Majumdar, Rabab Kreidieh Ward:
Synthesis and analysis prior algorithms for joint-sparse recovery. ICASSP 2012: 3421-3424 - [c16]Angshul Majumdar, Rabab Kreidieh Ward, Tyseer Aboulnasr:
A focuss based method for low rank matrix recovery. ICIP 2012: 1713-1716 - 2011
- [j7]Angshul Majumdar, Rabab K. Ward:
Increasing energy efficiency in sensor networks: blue noise sampling and non-convex matrix completion. Int. J. Sens. Networks 9(3/4): 158-169 (2011) - [j6]Angshul Majumdar, Rabab Kreidieh Ward:
Some empirical advances in matrix completion. Signal Process. 91(5): 1334-1338 (2011) - [c15]Angshul Majumdar, Rabab K. Ward:
Compressed sensing based MR image reconstruction from multiple partial K-space scans. SiPS 2011: 340-343 - 2010
- [j5]Angshul Majumdar, Rabab K. Ward:
Improved Group Sparse Classifier. Pattern Recognit. Lett. 31(13): 1959-1964 (2010) - [j4]Angshul Majumdar, Rabab K. Ward:
Compressed sensing of color images. Signal Process. 90(12): 3122-3127 (2010) - [j3]Angshul Majumdar, Rabab K. Ward:
Robust Classifiers for Data Reduced via Random Projections. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1359-1371 (2010) - [c14]Angshul Majumdar, Rabab Kreidieh Ward:
A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks. DCC 2010: 542 - [c13]Angshul Majumdar, Rabab Kreidieh Ward:
Non-convex group sparsity: Application to color imaging. ICASSP 2010: 469-472 - [c12]Angshul Majumdar, Rabab Kreidieh Ward:
Compressive color imaging with group-sparsity on analysis prior. ICIP 2010: 1337-1340 - [c11]Angshul Majumdar, Rabab K. Ward:
Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior. MICCAI (3) 2010: 513-520
2000 – 2009
- 2009
- [j2]Angshul Majumdar, Arusharka Bhattacharya:
A comparative study in wavelets, curvelets and contourlets as feature sets for pattern recognition. Int. Arab J. Inf. Technol. 6(1): 47-51 (2009) - [j1]Angshul Majumdar:
Image compression by sparse PCA coding in curvelet domain. Signal Image Video Process. 3(1): 27-34 (2009) - [c10]Angshul Majumdar, Rabab Kreidieh Ward:
Discriminative SIFT features for face recognition. CCECE 2009: 27-30 - [c9]Angshul Majumdar, A. Bhattacharya:
Classification by Linearity Assumption. ICAPR 2009: 255-258 - [c8]Angshul Majumdar, Rabab K. Ward:
Classification via group sparsity promoting regularization. ICASSP 2009: 861-864 - 2008
- [c7]Angshul Majumdar, Rabab K. Ward:
Pseudo-Fisherface method for single image per person face recognition. ICASSP 2008: 989-992 - [c6]Angshul Majumdar, Rabab K. Ward:
Single image per person face recognition with images synthesized by non-linear approximation. ICIP 2008: 2740-2743 - [c5]Angshul Majumdar, Panos Nasiopoulos:
Frontal Face Recognition from Video. ISVC (2) 2008: 297-306 - 2007
- [c4]Angshul Majumdar, B. B. Chaudhuri:
Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script. ICDAR 2007: 491-495 - [c3]Tanaya Mandal, Angshul Majumdar, Q. M. Jonathan Wu:
Face Recognition by Curvelet Based Feature Extraction. ICIAR 2007: 806-817 - [c2]Angshul Majumdar, S. Ray, A. Bhattacharya:
Face Recognition by Multiresolution Contourlet Transform on Bit Quantized Facial Images. IICAI 2007: 2010-2026 - 2006
- [c1]Angshul Majumdar, B. B. Chaudhuri:
A MLP Classifier for Both Printed and Handwritten Bangla Numeral Recognition. ICVGIP 2006: 796-804
Coauthor Index
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