5 citations · 9 across the 6 of their papers we have counts for
7 papers
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework
Anupriya Gogna, Angshul Majumdar
Design of recommender systems aimed at achieving high prediction accuracy is a widely researched area. However, several studies have suggested the need for diversified recommendati…
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition
Anupriya Gogna, Angshul Majumdar
Conventionally, autoencoders are unsupervised representation learning tools. In this work, we propose a novel discriminative autoencoder. Use of supervised discriminative learning…
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals
Anupriya Gogna, Angshul Majumdar, Rabab Ward
In this work we propose an autoencoder based framework for simultaneous reconstruction and classification of biomedical signals. Previously these two tasks, reconstruction and clas…
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements
Anupriya Gogna, Angshul Majumdar
This work addresses the problem of estimating proton density and T1 maps from two partially sampled K-space scans such that the total acquisition time remains approximately the sam…
Blind Compressive Sensing Framework for Collaborative Filtering
Anupriya Gogna, Angshul Majumdar
Existing works based on latent factor models have focused on representing the rating matrix as a product of user and item latent factor matrices, both being dense. Latent (factor)…
Comparative analysis of evolutionary algorithms for image enhancement
Anupriya Gogna, Akash Tayal
Evolutionary algorithms are metaheuristic techniques that derive inspiration from the natural process of evolution. They can efficiently solve (generate acceptable quality of solut…
Matrix recovery using Split Bregman
Anupriya Gogna, Ankita Shukla, Angshul Majumdar
In this paper we address the problem of recovering a matrix, with inherent low rank structure, from its lower dimensional projections. This problem is frequently encountered in wid…