Results 11 to 20 of about 307,453 (283)
Deep Learning Methods for Improved Decoding of Linear Codes
IEEE Journal on Selected Topics in Signal Processing, 2018 The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be used to improve a standard belief propagation decoder, despite the large ...
Beery, Yair +5 more
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Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and the decoder then produces dense predictions using encoded features. However, decoders are still under-explored in such architectures.
Liang, Peixian +5 more
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Decoding NGC 628 with radiative transfer methods [PDF]
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT We present an axi-symmetric model for the ultraviolet (UV)-to-submillimetre (submm) images of the nearly face-on spiral galaxy NGC 628. It was calculated using a radiative transfer (RT) code, accounting for the absorption and re-emission of starlight by dust in the interstellar medium of this galaxy.
Rushton, Mark +4 more
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Decoding Methods in Neural Language Generation: A Survey
Information, 2021 Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding ...
Sina Zarrieß +2 more
doaj +1 more source
Sequencing methods and functional decoding of mRNA modifications
Fundamental Research, 2023 More than 160 types of post-transcriptional RNA modifications have been reported; there is substantial variation in modification type, abundance, site, and function across species, tissues, and RNA type.
Kai Li, Jinying Peng, Chengqi Yi
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Bidirectional stack decoding of polar codes [PDF]
Vojnotehnički Glasnik, 2021 Introduction/purpose: The paper introduces a reduced latency stack decoding algorithm of polar codes, inspired by the bidirectional stack decoding of convolutional codes and based on the folding technique.
Aleksandar Đ. Minja +2 more
doaj +1 more source
IEICE ESS Fundamentals Review, 2011 誤り訂正符号の代数的復号法の一つであるユークリッド復号法について解説する．ユークリッド復号法はBCH符号やRS 符号の強力な復号法として知られ，数多くの適用例がある．まず，1950 年代に始まった誤り訂正符号の構成法の研究と，1960 年代から1970 年代にかけての復号法の研究の歴史をたどり，ユークリッド復号法の位置付けを行う．次に，ユークリッド復号法の概要を紹介する．最後に，この復号法発見に至る筆者らの当時の環境や様子を，研究者の立場から経験談に私見を交えながら述べる．
Shigeichi HIRASAWA, Masao KASAHARA
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Nonuniform Fuchsian codes for noisy channels [PDF]
, 2014 We develop a new transmission scheme for additive white Gaussian noisy (AWGN) channels based on Fuchsian groups from rational quaternion algebras. The structure of the proposed Fuchsian codes is nonlinear and nonuniform, hence conventional decoding ...
Alsina, Montserrat +3 more
core +3 more sources
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Engineering, 2019 Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects of visual perception neuroscience. Although previous researchers have made significant advances in brain encoding and decoding models, existing methods
Changde Du +3 more
doaj +1 more source
Objective comparison of methods to decode anomalous diffusion [PDF]
Nature Communications, 2021 AbstractDeviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement.
Gorka Muñoz-Gil +33 more
openaire +10 more sources