◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Tefas

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedDimensionality Reduction using Similarity-induced Embeddings

37 citations · 37 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2017

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks

Nikolaos Passalis, Anastasios Tefas

Convolutional Neural Networks (CNNs) are well established models capable of achieving state-of-the-art classification accuracy for various computer vision tasks. However, they are…

cs.CV2017★ 37 cited

Dimensionality Reduction using Similarity-induced Embeddings

Nikolaos Passalis, Anastasios Tefas

The vast majority of Dimensionality Reduction (DR) techniques rely on second-order statistics to define their optimization objective. Even though this provides adequate results in…

◍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.