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researcher

L. Heutte

12 papers hereh-index 316.1k citations150 works total

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

author position
  • middle author6
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG4
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedRandom Forest Kernel for High-Dimension Low Sample Size Classification

15 citations · 38 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CV2019★ 3 cited

Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents

Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich +2

This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning. The first approach uses a pre-trained CNN model t…

cs.CV2019

Image Retrieval and Pattern Spotting using Siamese Neural Network

Kelly L. Wiggers, Alceu S. Britto, Laurent Heutte +2

This paper presents a novel approach for image retrieval and pattern spotting in document image collections. The manual feature engineering is avoided by learning a similarity-base…

cs.CV2019

Pattern Spotting in Historical Documents Using Convolutional Models

Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas +2

Pattern spotting consists of searching in a collection of historical document images for occurrences of a graphical object using an image query. Contrary to object detection, no pr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.