Mridula Verma

发表

Fast Multi-Modal Unified Sparse Representation Learning

Mridula Verma, Kaushal Kumar Shukla, 2017, ICMR.

Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data

Durga Toshniwal, Mridula Verma, Amruta Mhatre, 2009, 2009 13th International Conference Information Visualisation.

Secure and verifiable iris authentication system using fully homomorphic encryption

Mridula Verma, Munaga V. N. K. Prasad, Mahesh Kumar Morampudi, 2021, Comput. Electr. Eng..

Ensemble based active annotation for biomedical named entity recognition

Asif Ekbal, Sriparna Saha, Mridula Verma, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Informed multimodal latent subspace learning via supervised matrix factorization

Mridula Verma, Kaushal Kumar Shukla, K. K. Shukla, 2016, ICVGIP '16.

Multimodal subspace learning on Flickr images

Mridula Verma, K. K. Shukla, Ramashish Gaurav, 2015, 2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON).

A new faster first order iterative scheme for sparsity-based multitask learning

Mridula Verma, Kaushal Kumar Shukla, K. K. Shukla, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms

Mridula Verma, Prayas Jain, K. K Shukla, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Reversible Data Hiding Using Multi-Layer Perceptron Based Pixel Prediction

Mridula Verma, Ravi Uyyala, Rajarshi Pal, 2020, IAIT.

Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets

Mridula Verma, Kaushal Kumar Shukla, K. K. Shukla, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Extracting Sequential Patterns from Progressive Databases: A Weighted Approach

Durga Toshniwal, Mridula Verma, Amruta Mhatre, 2009, 2009 International Conference on Signal Processing Systems.

VAGA: a novel viscosity-based accelerated gradient algorithm

Mridula Verma, Kaushal Kumar Shukla, D. R. Sahu, 2017, Applied Intelligence.

A Regularized Ensemble of Classifiers for Sensor Drift Compensation

Shruti Asmita, Mridula Verma, K. K. Shukla, 2016, IEEE Sensors Journal.

A new accelerated proximal gradient technique for regularized multitask learning framework

Mridula Verma, Kaushal Kumar Shukla, K. K. Shukla, 2017, Pattern Recognit. Lett..

Self-adaptive Gesture Classifier Using Fuzzy Classifiers with Entropy Based Rule Pruning

Ritesh Srivastava, Mridula Verma, Ajeet Kumar Bhartee, 2012, ISI.

Random projections of Fischer Linear Discriminant classifier for multi-class classification

Mridula Verma, K. K. Shukla, Anant Dadu, 2016, 2016 4th International Symposium on Computational and Business Intelligence (ISCBI).

Active learning technique for biomedical named entity extraction

Asif Ekbal, Massimo Poesio, Sriparna Saha, 2012, ICACCI '12.

A new accelerated proximal technique for regression with high-dimensional datasets

Mridula Verma, Kaushal Kumar Shukla, K. K. Shukla, 2017, Knowledge and Information Systems.

Convergence analysis of accelerated proximal extra-gradient method with applications

Kaushal K. Shukla, Mridula Verma, K. K. Shukla, 2020, Neurocomputing.

A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets

Durga Toshniwal, Mridula Verma, 2010, DMIN.

Convergence rate analysis of proximal gradient methods with applications to composite minimization problems

Kaushal K. Shukla, Jen-Chih Yao, Mridula Verma, 2020 .