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Energy-Efficient Gabor Kernels in Neural Networks with Genetic Algorithm Training Method

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-981-10-5903-2_18openalex-snapshot
Genetic Algorithm-Based Optimized Gabor Filters for Content-Based Image Retrieval
inferredcites →https://doi.org/10.1007/s11227-016-1840-6openalex-snapshot
A cloud-based monitoring system via face recognition using Gabor and CS-LBP features
inferredcites →https://doi.org/10.1016/j.jmsy.2018.01.003openalex-snapshot
Deep learning for smart manufacturing: Methods and applications
inferredcites →https://doi.org/10.1017/atsip.2013.9openalex-snapshot
A tutorial survey of architectures, algorithms, and applications for deep learning
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1109/34.41384openalex-snapshot
Multichannel texture analysis using localized spatial filters
inferredcites →https://doi.org/10.1109/34.761261openalex-snapshot
Filtering for texture classification: a comparative study
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/biocas.2016.7833826openalex-snapshot
Stochastic implementation of the activation function for artificial neural networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/fpl.2016.7577308openalex-snapshot
A high performance FPGA-based accelerator for large-scale convolutional neural networks
inferredcites →https://doi.org/10.1109/icaees.2016.7888019openalex-snapshot
An experimental study of feature reduction using PCA in multi-biometric systems based on feature level fusion
inferredcites →https://doi.org/10.1109/inista.2011.5946089openalex-snapshot
Iris feature extraction using optimized Gabor wavelet based on multi objective genetic algorithm
inferredcites →https://doi.org/10.1109/innovations.2008.4781779openalex-snapshot
Arabic (Indian) handwritten digits recognition using Gabor-based features
inferredcites →https://doi.org/10.1109/islped.2017.8009202openalex-snapshot
Gabor filter assisted energy efficient fast learning Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/lgrs.2017.2764915openalex-snapshot
Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
inferredcites →https://doi.org/10.1109/lsp.2013.2259622openalex-snapshot
Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features
inferredcites →https://doi.org/10.1109/mci.2018.2840738openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
inferredcites →https://doi.org/10.1109/mm.2018.112130335openalex-snapshot
Domain-Specific Approximation for Object Detection
inferredcites →https://doi.org/10.1109/msp.2017.2749125openalex-snapshot
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
inferredcites →https://doi.org/10.1109/msp.2017.2764116openalex-snapshot
Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans
inferredcites →https://doi.org/10.1109/sc.2016.53openalex-snapshot
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
inferredcites →https://doi.org/10.1109/scopes.2016.7955721openalex-snapshot
Combined feature level and score level fusion Gabor filter-based multiple enrollment fingerprint recognition
inferredcites →https://doi.org/10.1109/tcyb.2017.2682846openalex-snapshot
A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification
inferredcites →https://doi.org/10.1109/techsym.2016.7872699openalex-snapshot
Robust face recognition of inferior quality images using Local Gabor Phase Quantization
inferredcites →https://doi.org/10.1109/tgrs.2016.2623742openalex-snapshot
Discriminative Low-Rank Gabor Filtering for Spectral–Spatial Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tpami.2016.2578328openalex-snapshot
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns
inferredcites →https://doi.org/10.1109/tpami.2017.2747134openalex-snapshot
A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling
inferredcites →https://doi.org/10.1109/tsp.2015.2455526openalex-snapshot
Multiwindow Real-Valued Discrete Gabor Transform and Its Fast Algorithms
inferredcites →https://doi.org/10.1113/jphysiol.1959.sp006308openalex-snapshot
Receptive fields of single neurones in the cat's striate cortex
inferredcites →https://doi.org/10.1113/jphysiol.1962.sp006837openalex-snapshot
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
inferredcites →https://doi.org/10.1134/s0965542517030125openalex-snapshot
Image filtering with the use of anisotropic diffusion
inferredcites →https://doi.org/10.1142/s0219467817500206openalex-snapshot
Enhanced Minutiae Extraction for High-Resolution Palmprint Recognition
inferredcites →https://doi.org/10.1145/2733373.2807412openalex-snapshot
MatConvNet
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.1561/2000000039openalex-snapshot
Deep Learning: Methods and Applications
inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.1561/9781601988157openalex-snapshot
Deep Learning: Methods and Applications
inferredcites →https://doi.org/10.21437/interspeech.2014-226openalex-snapshot
Robust CNN-based speech recognition with Gabor filter kernels
inferredcites →https://doi.org/10.5591/978-1-57735-516-8/ijcai11-210openalex-snapshot
Flexible, high performance convolutional neural networks for image classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/vzj2.20285openalex-snapshot
Contactless estimation of soil moisture using leaky Rayleigh waves and a fully convolutional network
inferred← citeshttps://doi.org/10.1007/978-3-031-21014-3_6openalex-snapshot
3D Segmentation with Fully Trainable Gabor Kernels and Pearson’s Correlation Coefficient
inferred← citeshttps://doi.org/10.1016/j.compind.2021.103551openalex-snapshot
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization
inferred← citeshttps://doi.org/10.1016/j.dt.2021.07.001openalex-snapshot
Visual-simulation region proposal and generative adversarial network based ground military target recognition
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2022.101952openalex-snapshot
Unsupervised classification to improve the quality of a bird song recording dataset
inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103664openalex-snapshot
The encoding method of position embeddings in vision transformer
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.12.005openalex-snapshot
Biological convolutions improve DNN robustness to noise and generalisation
inferred← citeshttps://doi.org/10.1109/access.2022.3152029openalex-snapshot
Convolutional Neural Network Based on Diverse Gabor Filters for Deepfake Recognition
inferred← citeshttps://doi.org/10.1109/access.2022.3228263openalex-snapshot
Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment
inferred← citeshttps://doi.org/10.1109/iccasit58768.2023.10351516openalex-snapshot
Construction and research of German traffic sign recognition algorithm based on convolutional neural network
inferred← citeshttps://doi.org/10.1109/jsen.2021.3106300openalex-snapshot
A Fast and Compact Deep Gabor Network for Micro-Doppler Signal Processing and Human Motion Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3048994openalex-snapshot
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3151875openalex-snapshot
Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/trpms.2020.3030611openalex-snapshot
Application and Construction of Deep Learning Networks in Medical Imaging
inferred← citeshttps://doi.org/10.17671/gazibtd.1366846openalex-snapshot
Göğüs Röntgeni Görüntülerinden Akciğer Hastalıklarının Sınıflandırılması için Farklı Derin Öznitelikler ile Beslenen Destek Vektör Makinesi
inferred← citeshttps://doi.org/10.24275/uami.vq27zn538openalex-snapshot
Identificación y clasificación de escenas por causalidad de Wiener-Granger
inferred← citeshttps://doi.org/10.3390/app122211801openalex-snapshot
A Multiscale Multi-Feature Deep Learning Model for Airborne Point-Cloud Semantic Segmentation
inferred← citeshttps://doi.org/10.3390/app15179557openalex-snapshot
Optimization of Gabor Convolutional Networks Using the Taguchi Method and Their Application in Wood Defect Detection
inferred← citeshttps://doi.org/10.3390/electronics8030295openalex-snapshot
Optimized Compression for Implementing Convolutional Neural Networks on FPGA
inferred← citeshttps://doi.org/10.3390/electronics8070726openalex-snapshot
Wiener–Granger Causality Theory Supported by a Genetic Algorithm to Characterize Natural Scenery
inferred← citeshttps://doi.org/10.3390/electronics8091024openalex-snapshot
Preceding Vehicle Detection Using Faster R-CNN Based on Speed Classification Random Anchor and Q-Square Penalty Coefficient
inferred← citeshttps://doi.org/10.3390/rs11141636openalex-snapshot
A Building Extraction Approach Based on the Fusion of LiDAR Point Cloud and Elevation Map Texture Features
inferred← citeshttps://doi.org/10.3390/s25030846openalex-snapshot
Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools
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