Search Results - "Hochuli, Andre G."

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  1. 1

    A comprehensive comparison of end-to-end approaches for handwritten digit string recognition by Hochuli, Andre G., Britto Jr, Alceu S., Saji, David A., Saavedra, José M., Sabourin, Robert, Oliveira, Luiz S.

    Published in Expert systems with applications (01-03-2021)
    “…•A comprehensive comparison of end-to-end approaches applied to this task.•A string of digits is represented as a sequence of objects.•It produces a short…”
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    Journal Article
  2. 2

    Combining Muti-Layer Features For Plant Species Classification in a Siamese Network by Moresco, Matheus, De S. Britto, Alceu, Costa, Yandre M. G., Senger, Luciano J., Hochuli, Andre G.

    “…The plant species classification using leaf images is a challenge due to the lack of annotation, imbalanced classes and similarities in the data…”
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    Conference Proceeding
  3. 3

    An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings by Hochuli, Andre G., Britto, Alceu S., Barddal, Jean P., Sabourin, Robert, Oliveira, Luiz E. S.

    “…An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically…”
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    Conference Proceeding
  4. 4

    Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems by Hochuli, Andre G., Britto, Alceu S., de Almeida, Paulo R. L., Alves, Williams B. S., Cagni, Fabio M. C.

    “…When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and…”
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    Conference Proceeding
  5. 5

    End-to-End Approach for Recognition of Historical Digit Strings by Zhao, Mengqiao, Hochuli, Andre G, Cheddad, Abbas

    Published 28-04-2021
    “…The plethora of digitalised historical document datasets released in recent years has rekindled interest in advancing the field of handwriting pattern…”
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    Journal Article
  6. 6

    Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems by Hochuli, Andre G, BrittoJr, Alceu S, de Almeida, Paulo R. L, Alves, Williams B. S, Cagni, Fabio M. C

    Published 22-07-2022
    “…When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and…”
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    Journal Article
  7. 7

    A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition by Hochuli, Andre G, BrittoJr, Alceu S, Saji, David A, Saavedra, Jose M, Sabourin, Robert, Oliveira, Luiz S

    Published 29-10-2020
    “…Expert System with Applications (2020) Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit…”
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    Journal Article
  8. 8

    An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings by Hochuli, Andre G, BrittoJr, Alceu S, Barddal, Jean P, Oliveira, Luiz E. S, Sabourin, Robert

    Published 28-03-2020
    “…An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically…”
    Get full text
    Journal Article
  9. 9

    Segmentation-Free Approaches for Handwritten Numeral String Recognition by Hochuli, Andre G, Oliveira, Luiz E S, BrittoJr, Alceu S, Sabourin, Robert

    Published 24-04-2018
    “…This paper presents segmentation-free strategies for the recognition of handwritten numeral strings of unknown length. A synthetic dataset of touching numeral…”
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    Journal Article
  10. 10

    Segmentation-Free Approaches For Handwritten Numeral String Recognition by Hochuli, Andre G., Oliveira, Luiz S., Souza Britto, Alceu de, Sabourin, Robert

    “…This paper presents segmentation-free strategies for the recognition of handwritten numeral strings of unknown length. A synthetic dataset of touching numeral…”
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    Conference Proceeding
  11. 11

    Detection of non-conventional events on video scenes by Hochuli, A.G., Britto, A.S., Koerich, A.L.

    “…This article presents a novel approach for detection of non-conventional events in videos scenes. This novel approach consists in analyzing in real-time video…”
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    Conference Proceeding