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3D Object Super Resolution using Metric Tensor and Christoffel Symbols
3D Object Super Resolution using Metric Tensor and Christoffel Symbols
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3D Object Super Resolution using Metric Tensor and Christoffel Symbols

Ganihar, Syed ; Joshi, Shreyas ; Setty, Shankar ; Mudenagudi, Uma

Proceedings of the 2014 Indian Conference on computer vision graphics and image processing, 2014, p.1-8

ACM

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2
Adaptive locality preserving projection for hyperspectral image classification
Adaptive locality preserving projection for hyperspectral image classification
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Adaptive locality preserving projection for hyperspectral image classification

He, Lin ; Chen, Xianjun ; Xie, Xiaofeng ; Luo, Haokun Cao, Zhiguo ; Ma, Jie ; Chen, Zhong ; Shi, Yu

SPIE 2020

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3
Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter
Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter
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Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter

Hao, Xiang ; Whitaker, Ross T. ; Fletcher, P. Thomas

Information Processing in Medical Imaging, 2011, Vol.22, p.13-24 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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4
An algorithm of multi-structure based on riemannian manifold learning
An algorithm of multi-structure based on riemannian manifold learning
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An algorithm of multi-structure based on riemannian manifold learning

WANG WEI ; BI, Du-Yan ; XIONG LEI

Proceedings of SPIE, the International Society for Optical Engineering, 2010, Vol.7820

Bellingham, Wash: SPIE

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5
An Asynchronous Parallel Algorithm Framework for Decentralized Pose Graph Optimization
An Asynchronous Parallel Algorithm Framework for Decentralized Pose Graph Optimization
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An Asynchronous Parallel Algorithm Framework for Decentralized Pose Graph Optimization

Guo, Guanghui ; Yi, Peng

2023 3rd International Conference on Computer, Control and Robotics (ICCCR), 2023, p.158-163

IEEE

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6
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer’s Disease
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer’s Disease
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Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer’s Disease

Cuingnet, Rémi ; Glaunès, Joan Alexis ; Chupin, Marie ; Benali, Habib ; Colliot, Olivier

Machine Learning in Medical Imaging, 2011, Vol.7009/2011, p.201-208 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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7
Approximate infinite-dimensional Region Covariance Descriptors for image classification
Approximate infinite-dimensional Region Covariance Descriptors for image classification
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Approximate infinite-dimensional Region Covariance Descriptors for image classification

Faraki, Masoud ; Harandi, Mehrtash T. ; Porikli, Fatih

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.1364-1368

IEEE

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8
Approximate Joint Diagonalization within the Riemannian Geometry Framework
Approximate Joint Diagonalization within the Riemannian Geometry Framework
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Approximate Joint Diagonalization within the Riemannian Geometry Framework

Bouchard, Florent ; Korczowski, Louis ; Malick, Jérôme ; Congedo, Marco

IEEE

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9
Aspects of 3D shape reconstruction
Aspects of 3D shape reconstruction
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Aspects of 3D shape reconstruction

Stiller, Peter F ; Arnold, Gregory ; Ferrara, Matthew

Proceedings of SPIE, the International Society for Optical Engineering, 2009, Vol.7246, p.72460Q-72460Q-12

Bellingham, Wash: SPIE

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10
Automatic Analysis of Brain Tumor from Magnetic Resonance Images based on Geometric Median Shift
Automatic Analysis of Brain Tumor from Magnetic Resonance Images based on Geometric Median Shift
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Automatic Analysis of Brain Tumor from Magnetic Resonance Images based on Geometric Median Shift

Gouskir, M. ; Zyad, M.A. ; Boutalline, M.

2020 IEEE 6th International Conference on Optimization and Applications (ICOA), 2020, p.1-7

IEEE

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