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Patrice Delmas

University of Auckland

Private Bag 92019

Auckland Mail Centre

Auckland, 1142

New Zealand

  • University of Auckland

SCHOLARLY PAPERS

3

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96

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0

Scholarly Papers (3)

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1.

Quantum Annealing for Computer Vision Minimization Problems

Number of pages: 11 Posted: 06 Jan 2024
Shahrokh Heidari, Michael Dinneen and Patrice Delmas
University of Auckland, University of Auckland and University of Auckland
Downloads 54 (1,031,043)

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quantum annealing, Quantum Computer Vision, computer vision, Discrete Minimization Models, Stereo Matching

2.

Genetic Programming for Multitask Hyperspectral Image Segmentation of Pacific Oysters

Downloads 27 (1,491,251)

Genetic Programming for Multitask Hyperspectral Image Segmentation of Pacific Oysters

Number of pages: 23 Posted: 14 May 2026
Mitchell Rogers, Cushla McGoverin, William J. G. McKay, Andrew Jeffs, Frederique Vanholsbeeck, Bing Xue, Mengjie Zhang and Patrice Delmas
affiliation not provided to SSRN, University of Otago, affiliation not provided to SSRN, University of Auckland, affiliation not provided to SSRN, Victoria University of Wellington, Victoria University of Wellington and University of Auckland
Downloads 18 (1,606,395)

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Hyperspectral Image Analysis, Genetic programming, Pacific oysters (Magallana gigas), Wavelength Selection, Multi-objective Optimisation

Genetic Programming for Multitask Hyperspectral Image Segmentation of Pacific Oysters

Number of pages: 23 Posted: 20 May 2026
Mitchell Rogers, Cushla McGoverin, William J. G. McKay, Andrew Jeffs, Frederique Vanholsbeeck, Bing Xue, Mengjie Zhang and Patrice Delmas
affiliation not provided to SSRN, University of Otago, affiliation not provided to SSRN, University of Auckland, affiliation not provided to SSRN, Victoria University of Wellington, Victoria University of Wellington and University of Auckland
Downloads 9 (1,635,165)

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Hyperspectral Image Analysis, Genetic Programming, Pacific oysters (Magallana gigas), Wavelength Selection, Multi-Objective Optimisation

3.

Reducing Annotation Burden in Benthic Ecology: Weak Supervision for Automated Detection of Seafloor Sediment-Linked Features

Number of pages: 32 Posted: 17 May 2026
Shahrokh Heidari, Stefano Schenone, Yani He, David Arturo Soriano Valdez, Gemma Cunnington, Patrice Delmas and Simon Thrush
University of Auckland, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Auckland and University of Auckland
Downloads 15 (1,541,665)

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Seafloor sediment, Weakly supervised learning, Object detection, Dinov3