◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Nidhi Gowdra

3 papers hereh-index 223 citations7 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedExamining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification

9 citations · 10 across the 2 of their papers we have counts for

collaborators
Showing cs.NEShow all

1 paper · 1 filter

cs.NE2021★ 9 cited

Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification

Nidhi Gowdra, Roopak Sinha, Stephen MacDonell

Convolutional Neural Networks (CNNs) specialize in feature extraction rather than function mapping. In doing so they form complex internal hierarchical feature representations, the…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.