2017
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  1. V. Singhal, H. Agrawal, S. Tariyal and A. Majumdar, Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification, IEEE Transactions on Geosciences and Remote Sensing (TGRS) 2017 Accepted PDF link
  2. A. Gogna and A. Majumdar,Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework, Knowledge Based Systems, (KBS) 2017, Accepted, PDF link
  3. S. Singh and A. Majumdar Deep Sparse Coding for Non-Intrusive Load Monitoring, IEEE Transactions on Smart Grid (Smart Grid), 2017, Accepted, PDF link
  4. V. Singal and A. Majumdar, Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning, Neural Processing Letters (NPL) 2017, Accepted PDF link
  5. I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security (TIFS) 2017, Accepted PDF link
  6. A. Majumdar, Causal MRI Reconstruction via Kalman Prediction and Compressed Sensing Correction, Magnetic Resonance Imaging (MRI) 2017, Accepted PDF link
  7. A. Sankaran, M. Vatsa, R. Singh and A. Majumdar, Group Sparse Autoencoder, Image and Vision Computing (IVC) 2017, Accepted PDF link
  8. M. Gulati, S. S. Ram, A. Majumdar and A. Singh, Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances, IEEE Transactions on Smart Grid (TSG) 2017, Accepted PDF link
  9. A. Gogna and A. Majumdar, DiABlO: Optimization based design for improving diversity in recommender system, Information Sciences (IS) 2017, Accepted PDF link
  10. M. Gupta and A. Majumdar, Handling Missing Data and Outliers in Energy Disaggregation, Information Sciences 2017, Accepted PDF link
  11. M. Gupta and A. Majumdar, One-Day-Ahead Load Forecasting using nonlinear Kalman filtering algorithms, Information Sciences 2017, Accepted PDF link
  12. S. Singh, M. Gulati and A. Majumdar, Greedy Deep Disaggregating Sparse Coding, Information Sciences 2017, Accepted PDF link
  13. J. Mehta and A. Majumdar, RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction, Pattern Recognition (PR) 2017, Accepted PDF link
  14. A. Majumdar, A. Gogna and R. K. Ward, Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals, IEEE Transactions on Biomedical Engineering (TBME) 2017, Accepted PDF link
  15. W Singh, A Shukla, S Deb, A Majumdar, Energy Efficient EEG Acquisition and Reconstruction for a Wireless Body Area Network, Integration, the VLSI Journal (INTEGRATION) 2017, Accepted PDF link
  16. J. Maggu, R. Hussein, A. Majumdar and R. Ward, Impulse Denoising via Transform Learning, IEEE GlobalSIP (GlobalSIP 2017). Montreal, Canada, 14-16 Nov 2017. PDF
  17. P. Singh, R. Hussein, A. Majumdar and R. Ward, Joint-sparse Dictionary Learning: Denoising Multiple Measurement Vectors, IEEE GlobalSIP (GlobalSIP 2017). Montreal, Canada, 14-16 Nov 2017. PDF
  18. S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning, IEEE ICCV (ICCV 2017). Venice, Italy, 22-29 Oct 2017. PDF
  19. M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Gender and Ethnicity Classification of Iris Images using Deep Class Encoder, IEEE IJCB (IJCB 2017). Denver, Colorado, USA, 01-04 Oct 2017. PDF
  20. J. Maggu and A. Majumdar, Greedy Deep Transform Learning, IEEE ICIP (ICIP 2017). Beijing, China, 17-20 Sept 2017. PDF
  21. K. Gupta and A. Majumdar, Learning Autoencoders with Low-Rank Weights, IEEE ICIP (ICIP 2017). Beijing, China, 17-20 Sept 2017. PDF
  22. K. Gupta, B. Biswas and A. Majumdar, Motion Blur Removal via Coupled Autoencoder, IEEE ICIP (ICIP 2017). Beijing, China, 17-20 Sept 2017. PDF
  23. A. Majumdar and R. K. Ward, Robust Greedy Deep Dictionary Learning for ECG Arrhythmia Classification, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  24. A. Tripathi and A. Majumdar, Asymmetric Stacked Autoencoder, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  25. A. Jain and A. Majumdar, Cold-start, Warm-start and Everything in Between: An Autoencoder based Approach to Recommendation, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  26. V. Singhal, P. Khurana and A. Majumdar, Class-wise Deep Dictionary Learning, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  27. V. Singhal and A. Majumdar, Noisy Deep Dictionary Learning: Application to Alzheimer's Disease Classification, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  28. G. Goswami, M. Vatsa, R. Singh and A. Majumdar, Kernel Group Sparse Representation based Classifier for Multimodal Biometrics, IEEE IJCNN (IJCNN 2017). Anchorage, Alaska, USA, 14-19 May 2017. PDF
  29. P. Bhattacharjee, S. Banerjee, M. Gulati, A. Majumdar and S. S. Ram, Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification, CODS (CODS 2017). IIT Madras, Chennai, 09-11 Mar 2017. PDF
  30. V. Singhal and A. Majumdar, Noisy Deep Dictionary Learning, CODS (CODS 2017). IIT Madras, Chennai, 09-11 Mar 2017. PDF
  31. V. Singhal, S. Singh and A. Majumdar How to Train Your Deep Neural Network with Dictionary Learning, Data Compression Conference (DCC 2017). Snowbird, Utah, USA, 04-07 Apr 2017. PDF
  32. S. Singh, V. Singhal and A. Majumdar Deep Blind Compressed Sensing, Data Compression Conference (DCC 2017). Snowbird, Utah, USA, 04-07 Apr 2017. PDF
  33. J. Maggu and A. Majumdar Robust Transform Learning, IEEE ICASSP (ICASSP 2017). New Orleans, USA, 05-09 Mar 2017. PDF



    2016
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  1. N. Kohli, M. Vatsa, R. Singh, A. Noore and A. Majumdar,Hierarchical Representation Learning for Kinship Verification, Hierarchical Representation Learning for Kinship Verification (TIP) 2016 Accepted PDF link
  2. S. Tariyal, A. Majumdar, R. Singh and M. Vatsa, Deep Dictionary Learning, IEEE ACCESS (IEEE ACCESS) 2016 Accepted PDF link
  3. A. Majumdar, M. Vatsa and R. Singh, Face Recognition via Class Sparsity based Supervised Encoding, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2016 Accepted PDF link
  4. N. Kohli, M. Vatsa, R. Singh, A. Noore and A. Majumdar,Hierarchical Representation Learning for Kinship Verification, IEEE Transactions on Image Processing, (TIP) 2016, Accepted, PDF link
  5. ,J. Mehta and A. Majumdar, RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction, Elsevier Pattern Recognition, 2016, Accepted, PDF link
  6. A. Sankaran, G. Sharma, R. Singh, M. Vatsa and A. Majumdar, Class Sparsity Signature based Restricted Boltzmann Machines, Elsevier Pattern Recognition 2016, Accepted PDF link
  7. S. Tariyal, H. K. Aggarwal and A. Majumdar, Removing Sparse Noise from Hyperspectral Images with Sparse and Low-rank Penalties, SPIE Journal of Electronic Imaging (JEI), 2016 PDF link
  8. H. K. Aggarwal and A. Majumdar, Hyperspectral Unmixing in the Presence of Mixed Noise using Joint-Sparsity and Total-Variation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2016 PDF
  9. H. K. Aggarwal and A. Majumdar, Hyperspectral Image Denoising using Spatio-Spectral Total Variation, IEEE Geosciences and Remote Sensing Letters (LGRS), 2016 PDF   Matlab Code
  10. S. Tariyal, A. Majumdar, R. Singh and M. Vatsa, Deep Dictionary Learning , IEEE ACCESS, 2016, PDF
  11. A. Gogna and A. Majumdar, A Comprehensive Recommender System Model: Improving Accuracy for both Warm and Cold Start Users, IEEE ACESS , Vol. 2803 - 2813. 2016 PDF link
  12.    
  13. J. Maggu and A. Majumdar Alternate Formulation for Transform Learning, ICVGIP (ICVGIP 2016). IIT Guwahati, 18-22 Dec 2016. PDF
  14. V. Singhal, A. Gogna and A. Majumdar, Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis, International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, 16-21 Oct 2016. PDF
  15. A. Gogna and A. Majumdar, Semi Supervised Autoencoder, International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, 16-21 Oct. (Accepted)
  16. A. Gogna and A. Majumdar, Kernel l1-minimization: Application to Kernel Sparse Representation based Classification, International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, 16-21 Oct.PDF
  17. A. Gogna and A. Majumdar, Nuclear Norm Regularized Randomized Neural Network, International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, 16-21 Oct. PDF
  18. J. Mehta, K. Gupta, A. Gogna and A. Majumdar, Stacked Robust Autoencoder for Classification, International Conference on Neural Information Processing (ICONIP 2016). Kyoto, Japan, 16-21 Oct. PDF
  19. M. Gupta and A. Majumdar, Nuclear Norm Regularized Robust Dictionary Learning for Energy Disaggregation, European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary, 29 Sept-2 Aug, 2016. PDF
  20. S. Yadav, M. Singh, M. Vatsa, R. Singh and A. Majumdar, Low Rank Group Sparse Representation Based Classifier for Pose Variation, International Conference on Image Processing (ICIP 2016). Arizona, Sept 25-28, 2016. PDF
  21. P. Khurana, A. Majumdar, R. K. Ward, Class-wise Deep Dictionaries for EEG Classification, International Joint Conference on Neural Network (IJCNN-2016). Vancouver, Canada, 24-29 July 2016. (Accepted) PDF
  22. K. Gupta, A. Majumdar, Sparsely Connected Autoencoder, International Joint Conference on Neural Network (IJCNN-2016). Vancouver, Canada, 24-29 July 2016. (Accepted) PDF
  23. H. K. Aggarwal, A. Majumdar, Robust Estimation for Subspace Based Classifiers, International Joint Conference on Neural Network (IJCNN-2016). Vancouver, Canada, 24-29 July 2016. (Accepted) PDF
  24. A. Majumdar and R. K. Ward, Real-time Reconstruction of EEG Signals from Compressive Measurements via Deep Learning, International Joint Conference on Neural Network (IJCNN-2016). Vancouver, Canada, 24-29 July 2016. (Accepted) PDF
  25. S. S. Ram and A. Majumdar, Through-wall Propagation Effects on Doppler-enhanced Frontal Radar Images of Humans, IEEE Radar Conference (RadarCon-2016). Philadelphia, PA (Accepted)
  26. A. Gogna and A. Majumdar, Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements, Data Compression Conference (DCC-2016). PDF
  27. K. Gupta, A. Raj and A. Majumdar, Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery, Data Compression Conference. (DCC-2016). PDF
  28. A. Majumdar and R. K. Ward, Robust Dictionary Learning: Application to Signal Disaggregation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016 ) (Accepted). March 20-25, 2016. Shanghai, China. (Accepted)
  29. M. Jain, N. Kumar, S. Deb and A. Majumdar, A Sparse Regression based Approach for Cuff-less Blood Pressure Measurement, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016 ) March 20-25, 2016. Shanghai, China. (Accepted)
  30. A. Gogna and A. Majumdar, Supervised Learning in Matrix Completion Framework for Recommender System Design, International Conference on Management of Data (COMAD 2016) , March 11-13, 2016, Pune, India (Accepted).

    2015
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  1. A. Gogna and A. Majumdar. Blind Compressive Sensing Formulation Incorporating Metadata for Recommender System Design. APSIPA Transactions on Signal and Information Processing (TSIP). 2015 (Accepted)
  2. G. Goswami, P. Mittal, A. Majumdar, R. Singh and M. Vatsa. Group Sparse Representation based Classification for Multi-feature Multimodal Biometrics. ELSEVIER Information Fusion. 2015 (Accepted). PDF link
  3. A. Majumdar, N. Ansari, H. Agarwal and P. Biyani. Impulse Denoising for Hyper-Spectral Images: A Blind Compressed Sensing Approach. ELSEVIER Signal Processing. vol. 119, pp 136-141. 2015. PDF link
  4. P. Khurana, P. Bhattacharjee and A. Majumdar. Matrix Factorization from Non-linear Projections: Application in Estimating T2 Maps from Few Echoes. ELSEVIER Magnetic Resonance Imaging (MRI). 33(7) 927-931. 2015
  5. A. Gogna, A. Majumdar. Matrix Completion Incorporating Auxiliary Information for Recommender System Design. ELSEVIER Expert Systems With Applications (ESWA). 42(15) 5789-5799. 2015
  6. A. Majumdar. Energy Efficient EEG Sensing and Transmission for Wireless Body Area Networks: A Blind Compressed Sensing Approach. ELSEVIER Biomedical Signal Processing and Control (BSPC). 2015 (Accepted)
  7. H.K. Aggarwal, A. Majumdar. Exploiting Spatio-Spectral Correlation for Impulse Denoising in Hyperspectral Images. SPIE Journal of Electronic Imaging (JEI). 24(1),013027, 2015 PDF   Matlab Code
  8. H.K. Aggarwal, A. Majumdar. Blind Hyperspectral Denoising, in National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2015), December 16-19, 2015. IIT-Patna, India.
  9. A. Majumdar. Discriminative Label Consistent Dictionary Learning IEEE International Conference on Image Processing (ICIP 2015). Quebec City, Canada. Sept 26-31, 2015. (Accepted)  
  10. A. Majumdar and R. K. Ward. Learning Space-Time Dictionaries for Blind Compressed Sensing Dynamic MRI Reconstruction. IEEE International Conference on Image Processing (ICIP 2015). Quebec City, Canada. Sept 26-31, 2015. (Accepted)  
  11. A. Majumdar. Frontal Face Recognition from Video via Rank-Aware Multiple Measurement Vector Recovery. IEEE International Conference on Digital Signal Processing (DSP 2015). Singapore. July 21-24, 2015. (Accepted)  
  12. A. Gogna and A. Majumdar. Matrix Factorization Model using Kacmarz Algorithm: Application in Sensor Localization. IEEE International Conference on Digital Signal Processing (DSP 2015). Singapore. July 21-24, 2015. (Accepted)  
  13. P. Bhattacharjee, P. Khurana and A. Majumdar. Low-rank Matrix Recovery from Non-linear Observations. IEEE International Conference on Digital Signal Processing (DSP 2015). Singapore. July 21-24, 2015. (Accepted)  
  14. A. Majumdar, A. Shukla, R. Ward. Combining Sparsity with Rank-Deficiency for Energy Efficient EEG Sensing and Transmission over Wireless Body Area Network, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015) (Accepted). April 19-24, 2015. Brisbane, Australia.
  15. A. Majumdar, R. Ward. Learning the Sparsity Basis in Low-rank plus Sparse Model for Dynamic MRI Reconstruction, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015) (Accepted). April 19-24, 2015. Brisbane, Australia.
  16. A. Majumdar, N. Ansari, H. K. Aggarwal. Hyper-spectral Impulse Denoising: A row-sparse Blind Compressed Sensing Formulation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015) (Accepted). April 19-24, 2015. Brisbane, Australia.
  17. H.K. Aggarwal, A. Majumdar. Mixed Gaussian and Impulse Denoising of Hyperspectral Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). Milan, Italy. July 26-31, 2015. (Accepted)   PDF
  18. H.K. Aggarwal, A. Majumdar. Blind Compressive Hyperspectral Imaging. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). Milan, Italy. July 26-31, 2015. (Accepted)  
  19. S. Tariyal, H.K. Aggarwal, A. Majumdar. Hyperspectral Impulse Denoising with Sparse And Low-Rank Penalties. Workshop on Hyperspectral Image and Signal Processing (WHISPERS 2015). Tokyo, Japan. June 2-5, 2015. (Accepted)  
  20. H.K. Aggarwal, S. Tariyal, A. Majumdar. Compressive Hyperspectral Imaging in the Presence of Impulse Noise. Workshop on Hyperspectral Image and Signal Processing (WHISPERS 2015). Tokyo, Japan. June 2-5, 2015. (Accepted)  
  21. A. Shukla, A. Majumdar, R. Ward. A Kronecker Compressed Sensing Formulation for Energy Efficient EEG Sensing, International Conference on Advances in Pattern Recognition ( ICAPR 2015), January 4-7, 2015. ISI-Kolkata, India.
  22. A. Gogna, A. Majumdar. SVD free Matrix Completion with Online Bias Correction for Recommender Systems, International Conference on Advances in Pattern Recognition ( ICAPR 2015), January 4-7, 2015. ISI-Kolkata, India.
  23. A. Majumdar. Scale-Rotation Invariant Features from Non-Subsampled Contourlets, International Conference on Advances in Pattern Recognition ( ICAPR 2015), January 4-7, 2015. ISI-Kolkata, India.
  24. H.K. Aggarwal, A. Majumdar. Multi-spectral Demosaicing: A Joint-sparse Elastic-net Formulation, International Conference on Advances in Pattern Recognition ( ICAPR 2015), January 4-7, 2015. ISI-Kolkata, India.

    2014
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  1. S. S. Ram and A. Majumdar. High Resolution Doppler-Enhanced Frontal Radar Imaging of Moving Humans, IEEE Transactions on Aerospace and Electronic Systems, 2014, (Accepted), PDF
  2. A. Shukla and A. Majumdar. Row-sparse Blind Compressed Sensing for Reconstructing Multi-channel EEG signals. Biomedical Signal Processing and Control., 2014, (Accepted)
  3. A. Majumdar, Improving Synthesis and Analysis Prior Blind Compressed Sensing with Low-rank Constraints for Dynamic MRI Reconstruction. Magnetic Resonance Imaging, 2014, (Accepted) PDF
  4. A. Majumdar and R. Ward. Exploiting Sparsity and Rank Deficiency for MR Image Reconstruction from Multiple Partial K-Space Scans. IEEE Canadian Journal of Electrical and Computer Engineering. , 2014, (invited)
  5. A. Majumdar, A. Gogna and R. Ward. Low-rank Matrix Recovery Approach For Energy Efficient EEG Acquisition for Wireless Body Area Network, Sensors, Special Issue on State-of-the-art Sensor Technologies in Canada , 2014, (Accepted) PDF
  6. A. Majumdar and R. K. Ward. Non-Convex Row-sparse MMV Analysis Prior Formulation For EEG Signal Reconstruction, Biomedical Signal Processing and Control , 2014 ( Accepted).
  7. A. Shah and A. Majumdar. Accelerating Low-Rank Matrix Completion on GPUs. International Conference on Advances in Computing, Communications and Informatics ( ICACCI 2014) , September 24-27, 2014, Greater Noida, India (Accepted). PDF
  8. P. Mittal, A. Jain and A. Majumdar. Metadata Based Recommender Systems. International Conference on Advances in Computing, Communications and Informatics ( ICACCI 2014) , September 24-27, 2014, Greater Noida, India (Accepted). PDF
  9. H. K. Aggarwal and A. Majumdar, "Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising Indian Conference on Computer Vision, Graphics and Image Processing ( ICVGIP 2014) , December 14-17, 2014. IISc Bangalore, India (Accepted) PDF   Matlab Code
  10. P. Das, M. Jain and A. Majumdar. Non Linear Sparse Recovery Algorithm. IEEE International Symposium on Signal Processing and Information Technology ( ISSPIT 2014) , December 15-17, 2014, Noida, India (Accepted). PDF
  11. A. Shah and A. Majumdar, “Sparse Recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm. IEEE International Symposium on Signal Processing and Information Technology ( ISSPIT 2014) , December 15-17, 2014, Noida, India (Accepted). PDF
  12. A. Majumdar and R. K. Ward. Fast SVD Free Low-rank Matrix Recovery: Application to Dynamic MRI Reconstruction International Conference on Medical Imaging, m-Health & Emerging Communication Systems ( MEDCOM 2014) , November 7-8, 2014, Greater Noida, India. (Accepted) PDF
  13. A. Gogna, A. Shukla, H. K. Aggarwal and A. Majumdar, Split Bregman Algorithms for Sparse / Joint-sparse and Low-rank Signal Recovery: Application in Compressive Hyperspectral Imaging, IEEE International Conference on Image Processing (ICIP 2014), October 27-30, 2014, Paris, France. PDF
  14. W. Singh, A. Shukla, S. Deb and A. Majumdar, Energy Efficient Acquisition and Reconstruction of EEG Signals, IEEE Engineering in Medicin and Biology (EMBC 2014), August 26-30,2014, Chicago, Illinois, USA. PDF
  15. A. Shah and A. Majumdar, " Parallelizing Sparse Recovery Algorithms: A Stochastic Approach", 19th International Conference on Digital Signal Processing (DSP 2014), August 20-23, 2014, Hong Kong, China. PDF
  16. Hemant Kumar Aggarwal, Angshul Majumdar. Compressive Sensing Multi-spectral Demosaicing from Single Sensor Architecture, IEEE China Summit and International Conference on Signal and Information Processing (ChinaSip 2014), July 9-13, 2014. Xi'an China.   Accepted. PDF   Matlab Code
  17. A. Majumdar, "Improved Blind Compressed Sensing for Dynamic MRI Reconstruction", ISMRM 2014 (accepted). PDF
  18. A. Majumdar, "Elastic Net Formulation for MRI Reconstruction", ISMRM 2014 (accepted). PDF
  19. A. Majumdar and R. K. Ward, "Improved MRI Reconstruction via Non-Convex Elastic Net", ICASSP 2014 (accepted). PDF
  20. A. Majumdar and S. S. Ram. "Two-Dimensional Array Processing with Compressed Sensing", IEEE Radar Conference (RadarCon 2014), May 19-23, 2014, Cincinnati, OH. PDF
  21. Anupriya Gogna, Ankita Shukla, Angshul Majumdar. Matrix Recovery using Split Bregman, in 22nd International Conference on Pattern Recognition (ICPR 2014), August 24-28, 2014. Stockholm, Sweden.   Accepted. PDF   Matlab Code
  22. Hemant Kumar Aggarwal, Angshul Majumdar. Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors, in 22nd International Conference on Pattern Recognition (ICPR 2014), August 24-28, 2014. Stockholm, Sweden.   Accepted. PDF   Matlab Code
  23. Hemant Kumar Aggarwal, Angshul Majumdar. Single-Sensor Multi-Spectral Image Demosaicing Algorithm using Learned Interpolation Weights, in International Geoscience and Remote Sensing Symposium (IGARSS 2014), July 13-18, 2014. Quebec, Canada.   Accepted. PDF   Matlab Code

    2013
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  1. A. Majumdar, K. Chaudhury and R. Ward, "Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model", Sensors, Special Issue on Magnetic Resonance Sensors, Vol. 13(12), pp. 16714-16735, 2013. PDF
  2. M. Mohsina and A. Majumdar, “Gabor Based Analysis Prior Formulation For EEG Signal Reconstruction”, Biomedical Signal Processing and Control, Vol. 8 (6), pp. 951–955, 2013. PDF
  3. A. Majumdar, “Motion Predicted Online Dynamic MRI Reconstruction from Partially Sampled K-Space Data”, Magnetic Resonance Imaging, Vol. 31 (9), pp. 1578–1586, 2013.
  4. H. S. Chen, A. Majumdar and P. Kozlowski, “Compressed Sensing CPMG with Group-Sparse Reconstruction for Myelin Water Imaging”, Magnetic Resonance in Medicine, Vol. 71 (3), pp. 1166-1171, 2013. PDF
  5. A. Majumdar and R. K. Ward, “Rank Awareness in Group-sparse Recovery of Multi-echo MR Images”, Sensors, Special Issue on Medical and Biomedical Imaging, Vol. 13 (3), pp. 3902-3921. PDF
  6. A. Majumdar, “Improved Dynamic MRI Reconstruction by Exploiting Sparsity and Rank-Deficiency”, Magnetic Resonance Imaging, Vol. 31(5), pp. 789-95, 2013. PDF
  7. A. Majumdar and R. K. Ward, “Dynamic CT Reconstruction by Smoothed Rank Minimization”, MICCAI, Vol. 8151, pp 131-138, 2013.
  8. A. Majumdar, R. K. Ward and T. Aboulnasr, “FOCUSS Algorithm for Rank-Aware Row Sparse MMV Recovery”, EUSIPCO 2013. PDF
  9. A. Majumdar, R. K. Ward and T. Aboulnasr, “Generalized Non-Linear Sparse Classifier”, EUSIPCO 2013. PDF
  10. G. N. Harsha, A. Majumdar and R. K. Ward, “Disparity Map Computation for Stereo Images Using Compressive Sampling”, IASTED Signal and Image Processing, 2013.
  11. A. Shukla, A. Majumdar and R. K. Ward, “Real-Time Dynamic MRI Reconstruction: Accelerating Compressed Sensing on Graphical Processor Unit”, IASTED Signal and Image Processing, 2013.
  12. A. Majumdar and R. K. Ward, “Exploiting Sparsity and Rank-deficiency in Dynamic MRI Reconstruction”, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2013. PDF
  13. A. Majumdar and R. K. Ward, “Exploiting Rank Deficiency for MR Image Reconstruction from Multiple Partial K-Space Scans”, IEEE Canadian Conference on Electrical and Computer Engineering, 2013. PDF
  14. A. Majumdar and R. K. Ward, “Non-linear Sparse and Group-sparse Classifier”, IEEE Canadian Conference on Electrical and Computer Engineering, 2013. PDF
  15. Hemant Kumar Aggarwal, Angshul Majumdar. Multispectral Demosaicing Algorithm for Single-Sensor Imaging, in National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2013), December 18-21, 2013. Jodhpur, India. PDF   Matlab Code
  16. Hemant Kumar Aggarwal, Angshul Majumdar, Rabab Ward. Reconstruction Algorithm for Multispectral Image Demosaicing, in 15th IASTED international conference on Signal and Image Processing (SIP 2013), July 17-19, 2013. Banff, Canada.   PDF   Matlab Code

    2012
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  1. A. Majumdar, R. K. Ward and T. Aboulnasr, "A FOCUSS Based Method for Low Rank Matrix Recovery", IEEE International Conference on Image Processing, pp. 1713-1716, 2012. PDF