Results 51 to 60 of about 3,882,996 (203)
, 2017 <p>This project is aimed to provide the implementation for Speaker Verification (SR) by using 3D convolutional neural networks following the SR protocol.</p ...
Amirsina Torfi
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An Attention Module for Convolutional Neural Networks
, 2021 Attention mechanism has been regarded as an advanced technique to capture long-range feature interactions and to boost the representation capability for convolutional neural networks.
Zhu, B. (author) +3 more
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Compressing Convolutional Neural Networks
CoRR, 2015 Convolutional neural networks (CNN) are increasingly used in many areas of computer vision. They are particularly attractive because of their ability to "absorb" great quantities of labeled data through millions of parameters. However, as model sizes increase, so do the storage and memory requirements of the classifiers.
Wenlin Chen +4 more
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Branching quantum convolutional neural networks
Physical Review Research, 2022 Neural-network-based algorithms have garnered considerable attention for their ability to learn complex patterns from very-high-dimensional data sets towards classifying complex long-range patterns of entanglement and correlations in many-body quantum ...
Ian MacCormack +4 more
doaj +1 more source
Robust Local Cluster Neural Networks (ESANN) [PDF]
, 2006 Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf +3 more
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Question Classification by Convolutional Neural Networks Embodying Subword Information
, 2018 Question Classification is a core module of Question Answering paradigm. Development of classification models based on neural networks showed that convolutional architectures allow obtaining uppermost results for this task.
Esposito M, Pota M
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Normalized Convolutional Neural Network
CoRR, 2020 We introduce a Normalized Convolutional Neural Layer, a novel approach to normalization in convolutional networks. Unlike conventional methods, this layer normalizes the rows of the im2col matrix during convolution, making it inherently adaptive to sliced inputs and better aligned with kernel structures. This distinctive approach differentiates it from
Dongsuk Kim +4 more
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Classification methods for handwritten digit recognition: A survey
Vojnotehnički Glasnik, 2023 Introduction/purpose: This paper provides a survey of handwritten digit recognition methods tested on the MNIST dataset. Methods: The paper analyzes, synthesizes and compares the development of different classifiers applied to the handwritten digit ...
Ira M. Tuba +2 more
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Symplectic convolutional neural networks
Neural NetworksWe propose a new symplectic convolutional neural network (CNN) architecture by leveraging symplectic neural networks, proper symplectic decomposition, and tensor techniques. Specifically, we first introduce a mathematically equivalent form of the convolution layer and then, using symplectic neural networks, we demonstrate a way to parameterize the ...
Süleyman Yıldız +2 more
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Известия Томского политехнического университета: Инжиниринг георесурсов, 2019 The relevance of the research is caused by the necessity to develop modern computer vision systems for monitoring hazardous technological objects of oil and gas industry.
Ivan V. Zoev +2 more
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