5 citations · 9 across the 6 of their papers we have counts for
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cs.CV2019
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…
cs.CV2015
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…
cs.CV2013★ 5 cited
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…