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A. Majumdar

73 papers hereh-index 416.3k citations408 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author24
  • first author3
  • middle author8
  • last author38

Across the 73 of 73 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.CV13
  • eess.SP8
  • eess.IV7
  • cs.AI5
  • cs.CC5
same name
  • A. Majumdar — 105 papers, h 54
  • A. Majumdar — 50 papers, h 19
  • A. Majumdar — 14 papers, h 6
  • A. Majumdar — 13 papers, h 10
  • A. Majumdar — 10 papers, h 110
  • A. Majumdar — 7 papers, h 31

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 168 across the 67 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

cs.LG2016

How to Train Your Deep Neural Network with Dictionary Learning

Vanika Singhal, Shikha Singh, Angshul Majumdar

Currently there are two predominant ways to train deep neural networks. The first one uses restricted Boltzmann machine (RBM) and the second one autoencoders. RBMs are stacked in l…

cs.CV2016

Deep Blind Compressed Sensing

Shikha Singh, Vanika Singhal, Angshul Majumdar

This work addresses the problem of extracting deeply learned features directly from compressive measurements. There has been no work in this area. Existing deep learning tools only…

cs.LG2016★ 20 cited

Greedy Deep Dictionary Learning

Snigdha Tariyal, Angshul Majumdar, Richa Singh +1

In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solvin…

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