Results 11 to 20 of about 766,173 (279)
Scenario-feature identification from online reviews based on BERT [PDF]
PeerJ Computer Science, 2023 Scenario endows a product with meanings. It has become the key to win the competition to design a product according to specific usage scene. Traditional scenario identification and product feature association methods have disadvantages such as ...
Xunjiang Huang, Kang Yan
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TAMNR: a network embedding learning algorithm using text attention mechanism [PDF]
PeerJ Computer Science, 2023 Because many existing algorithms are mainly trained based on the structural features of the networks, the results are more inclined to the structural commonality of the networks.
Wei Zhang +4 more
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Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Analisis tekstur lazim dimanfaatkan sebagai proses untuk melakukan klasifikasi dan interpretasi citra. Suatu proses klasifikasi citra berbasis analisa tekstur pada umumnya membutuhkan tahapan ekstraksi ciri, yang terdiri dari tiga macam metode ...
Hamdun Sulaiman
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Co-occurrence Matrix-Based Image Segmentation
IEICE Transactions on Information and Systems, 2010 We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.
Suk Tae SEO +4 more
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Rotated Image Retrieval Based on Color Motif Co-occurrence Matrix [PDF]
Jisuanji gongcheng, 2017 In order to increase the retrieval accuracy of the rotated image,this paper proposes a novel rotated image retrieval method by introducing Color Motif Co-occurrence Matrix(CMCM).It designs eight kinds of rotation invariant motifs and gets Motif Excessive
YAN Yu,SONG Wei,ZHU Huadong
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Iris Recognition Using 3D Co-occurrence Matrix [PDF]
, 2009 This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is expanded from the original 2D-GLCM is proposed and used to extract the iris features. The experimental results show that the proposed approach gains an encouraging performance on the
Wen-Shiung Chen +2 more
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Texture features based microscopic image classification of liver cellular granuloma using artificial neural networks [PDF]
, 2019 Automated classification of Schistosoma mansoni granulomatous microscopic images of mice liver using Artificial Intelligence (AI) technologies is a key issue for accurate diagnosis and treatment.
Chen, Gaoxiang +6 more
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Texture-based crowd detection and localisation [PDF]
, 2012 This paper presents a crowd detection system based on texture analysis. The state-of-the-art techniques based on co-occurrence matrix have been revisited and a novel set of features proposed.
A.C. Davies +4 more
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Co-culture of Adult Mesenchymal Stem Cells and Nucleus Pulposus Cells in Bilaminar Pellets for Intervertebral Disc Regeneration [PDF]
, 2009 Background: Our goal is to optimize stem cell-based tissue engineering strategies in the context of the intervertebral disc environment. We explored the benefits of co-culturing nucleus pulposus cells (NPC) and adult mesenchymal stem cells (MSC) using a ...
Allon, AA, Lotz, JC, Schneider, RA
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Shipin yu jixie, 2023 Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability ...
ZHANG Bao-sheng +2 more
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