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3D Human Joints Extraction Using Part Segmentation
Frontiers in Optics + Laser Science 2021, 2021We propose an approach of human joints extraction using part segmentation. Six human segmentations obtained by PointNet++ are further utilized to extract the 3D joints. The average error of 14 joints is < 4.2 cm.
Tianxu Xu +10 more
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2018
Since mice are widely used to establish rheumatoid arthritis models, assessment of the pathogenesis of local arthritis is fundamental. Proteins are the most diverse group of biologically important molecules and are essential for cellular structure and function. The first step in pathogenesis-related protein analysis is joint tissue extraction.
Shuang, Liu, Erika, Takemasa
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Since mice are widely used to establish rheumatoid arthritis models, assessment of the pathogenesis of local arthritis is fundamental. Proteins are the most diverse group of biologically important molecules and are essential for cellular structure and function. The first step in pathogenesis-related protein analysis is joint tissue extraction.
Shuang, Liu, Erika, Takemasa
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Joint Sentiment/Topic extraction from text
2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014Sentiment analysis or opinion mining extracts the features from subjectivity information for seeking public opinions and emotional response towards entities, feedbacks, events, topic, and their attributes. Text analytics has been successfully employed to automate the extraction or mine effective information from unstructured text.
J.S. Sowmiya, S. Chandrakala
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Joint wavelet-transform correlator for image feature extraction
Applied Optics, 1995We describe a joint wavelet-transform correlator in which the wavelet function is combined with the input image as the input joint image to realize the wavelet transform of the objective image. The Haar wavelet and the Roberts filter are chosen as the wavelet functions to extract the features of the objective image. The relationship of the Haar wavelet
W, Wang, G, Jin, Y, Yan, M, Wu
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Feature-extracted joint transform correlation
Applied Optics, 1995A new technique for real-time optical character recognition that uses a joint transform correlator is proposed. This technique employs feature-extracted patterns for the reference image to detect a wide range of characters in one step. The proposed technique significantly enhances the processing speed when compared with the presently available joint ...
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An Improved Method of Joint Extraction
2019Named entity recognition (NER) and relation extraction (RE) are the basic tasks of Natural Language Processing (NLP). However, previous works always treat them as two separated subtasks, a novel improved method of joint extraction was present in this paper to solve the problem of internal relationship and error propagation in traditional pipeline model,
Yanfang Cheng, Yinan Lu, Hangyu Pan
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Joint models for information and knowledge extraction
2017Informations- und Wissensextraktion aus natürlichsprachlichen Texten sind Schlüsselthemen vieler wissensbassierter Anwendungen. Darunter fallen zum Beispiel Frage-Antwort-Systeme, semantische Suchmaschinen, oder Applikationen zur automatischen Zusammenfassung und zum maschinellem Lesen von Texten. Zur Lösung dieser Aufgaben müssen u.a.
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A robust methodology for solder joints extraction
2013 8th International Conference on Computer Engineering & Systems (ICCES), 2013In Electronic Manufacturing Industry, machine vision systems have been announced to outperform the electrical inspection systems effectively. It supports the Surface Mount Technology (SMT) and improves the diagnostic capabilities. The challenge there is to miniaturize components with high packing density under economic considerations.
Magdy M. Abdelhameed +2 more
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Joint Enhancing Filtering for Road Network Extraction
IEEE Transactions on Geoscience and Remote Sensing, 2017In this paper, we propose a task-oriented enhancing technique for extracting road networks from satellite images. By exploiting an approximate estimation of the potential road edges for guidance, we developed a joint enhancing filtering framework to generate a version of the input image that facilitates road network extraction.
Yu Zang +5 more
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Joint extraction of argument components and relations
2017 International Conference on Asian Language Processing (IALP), 2017Argumentation mining (AM) aims at automatically extracting argument structures in documents. AM consists of three sub-tasks: argument identification, argument component classification and relation prediction. Some recent end-to-end AM works produce promising results, but their performances on the latter two AM sub-tasks are not satisfactory.
Yang Du, Minglan Li, Mengxue Li
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