Holographic Neural Architectures (original) (raw)

Holographic recurrent networks

Tony Plate

Advances in Neural Information Processing Systems 5

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Holographic representations of images

Alfred Bruckstein

IEEE Transactions on Image Processing, 1998

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Comprehensive deep learning model for optical holography

Alim Yolalmaz

2021

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Randomness assisted in-line holography with deep learning

mohit rathor

Scientific Reports

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End-to-end learning of 3D phase-only holograms for holographic display

beichen li

Light: Science & Applications

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Learning the systematic transformation of holographic reduced representations

Jane Neumann

Cognitive Systems Research, 2002

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Deep learning approach to hologram based cellular classification

Robin Maillot

2018

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Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning

Haiyu Wu

ArXiv, 2020

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Neuroblastoma Cells Classification Through Learning Approaches by Direct Analysis of Digital Holograms

Pietro Ferraro

IEEE Journal of Selected Topics in Quantum Electronics

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HOLONET: a network for training holography

Pedro Pombo

12th Education and Training in Optics and Photonics Conference, 2014

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HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

thu nguyen phuoc

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

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Incremental Machine Learning with Holographic Neural Theory for ATD/ATR

Alexandre Jouan

2006 9th International Conference on Information Fusion, 2006

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Deep-learning based hologram classification for molecular diagnostics

cesar castro

2017

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Unambiguous Identification of Objects in Different Environments and Conditions Based on Holographic Machine Learning Algorithms

Evgeny G Bryndin

2022

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Deep DIH: Single-Shot Digital In-Line Holography Reconstruction by Deep Learning

Abolfazl Razi

IEEE Access

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Deep convolutional neural networks and digital holographic microscopy for in-focus depth estimation of microscopic objects

Aki Manninen

Irish Pattern Recognition & Classification Society, 2017

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Neural computation for robust and holographic face detection

Elaheh Sadredini

Proceedings of the 59th ACM/IEEE Design Automation Conference

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Holographic Graph Neuron: a Bio-Inspired Architecture for Pattern Processing

Asad Khan, Alexander Senior, Ahmet Sekercioglu

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Holographic implementation of a fully connected neural network

Sidney Li

Proceedings of the IEEE, 1990

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Assessment of Predictive Ability of Artificial Neural Networks Using Holographic Mapping

Andras Tompos

Combinatorial Chemistry & High Throughput Screening, 2007

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Modification of Holographic Graph Neuron Using Sparse Distributed Representations

Dmitri Rachkovskij

Procedia Computer Science, 2016

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Holographic implementation of a learning machine based on a multicategory perceptron algorithm

John Wullert

Optics Letters, 1989

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Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network (Conference Presentation)

Julie Rivet

2020

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Automatic Plankton Detection and Classification on Raw Hologram with a Single Deep Learning Architecture

Thomas Quiniou

HAL (Le Centre pour la Communication Scientifique Directe), 2021

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Towards holographic “brain” memory based on randomization and Walsh–Hadamard transformation

Daniel Berend

Neural Networks, 2016

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Holographic Artificial Intelligence Assistance

Shweta Dubey

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Focus prediction in digital holographic microscopy using deep convolutional neural networks

Aki Manninen

Applied Optics, 2019

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CATCH: Characterizing and Tracking Colloids Holographically Using Deep Neural Networks

Lauren Altman

The Journal of Physical Chemistry B

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Holographic Sensing

Alfred Bruckstein

ArXiv, 2018

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Stochastic resonance in pattern recognition by a holographic neuron model

Ruedi Stoop

Physical Review E, 2003

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Holographic reduced representations

Tony Plate

IEEE Transactions on Neural Networks, 1995

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Holographic characterisation of subwavelength particles enhanced by deep learning

Fredrik Eklund

2020

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Experimental digital Gabor hologram rendering by a model-trained convolutional neural network

Michael Atlan

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Perceptually motivated loss functions for computer generated holographic displays

Andrzej Kaczorowski

Scientific Reports, 2022

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Multi-dimensional Imaging by Compressive Digital Holography

Joseph Rosen

Javidi/Multi-Dimensional Imaging, 2014

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