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Titlebook: Knowledge Transfer between Computer Vision and Text Mining; Similarity-based Lea Radu Tudor Ionescu,Marius Popescu Book 2016 Springer Inter

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發(fā)表于 2025-3-21 19:33:55 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge Transfer between Computer Vision and Text Mining
副標題Similarity-based Lea
編輯Radu Tudor Ionescu,Marius Popescu
視頻videohttp://file.papertrans.cn/545/544091/544091.mp4
概述Provides a novel perspective on image analysis and text processing, presenting the scientific justification for treating the two disciplines in a similar manner.Offers open source code for the techniq
叢書名稱Advances in Computer Vision and Pattern Recognition
圖書封面Titlebook: Knowledge Transfer between Computer Vision and Text Mining; Similarity-based Lea Radu Tudor Ionescu,Marius Popescu Book 2016 Springer Inter
描述This ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification. Highlightingthe benefits of knowledge transfer between the two disciplines, the textpresents a range of novel similarity-based learning (SBL) techniques founded onthis approach. Topics and features: describes a variety of SBL approaches,including nearest neighbor models, local learning, kernel methods, andclustering algorithms; presents a nearest neighbor model based on a noveldissimilarity for images; discusses a novel kernel for (visual) wordhistograms, as well as several kernels based on a pyramid representation; introducesan approach based on string kernels for native language identification; containslinks for downloading relevant open source code.
出版日期Book 2016
關(guān)鍵詞Computer Vision; Kernel Methods; Knowledge Transfer; Similarity-based Learning; Text Mining
版次1
doihttps://doi.org/10.1007/978-3-319-30367-3
isbn_softcover978-3-319-80791-1
isbn_ebook978-3-319-30367-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:51:09 | 只看該作者
2191-6586 in a similar manner.Offers open source code for the techniqThis ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treate
板凳
發(fā)表于 2025-3-22 03:55:27 | 只看該作者
地板
發(fā)表于 2025-3-22 06:50:15 | 只看該作者
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發(fā)表于 2025-3-22 10:58:21 | 只看該作者
State-of-the-Art Approaches for Image Classificationep learning, have shown impressive levels of performance. Image descriptors, which form another class of local image features besides patches, are also presented in this chapter. Since this book is mainly focused on learning based on similarity, an entire section is dedicated to image distance measures.
6#
發(fā)表于 2025-3-22 15:56:08 | 只看該作者
Radu Tudor Ionescu,Marius Popescueh?rigkeit eine Verwendung, die an soziologischen Kriterien orientiert ist. Im Falle des Geschlechts appelliert ein gro?er Teil der soziologischen Forschung nach wie vor implizit an Selbstverst?ndlichkeiten des Alltagsbe- wu?tseins und übemimmt damit ein naiv biologistisches Verst?ndnis. Das er- kl?
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發(fā)表于 2025-3-22 21:17:17 | 只看該作者
ein und machtrelevante Theorieangebote anhand unterschiedlicher Untersuchungsfelderund -themen anhand kommentierter Originaltexte sichtbar. Eseignet sich als Lehrbuch für Studierende ab dem mittleren Studienabschnittund bietet Forschenden eine Einführung, die sowohl die Historiedes Themas vermittelt
9#
發(fā)表于 2025-3-23 01:27:40 | 只看該作者
Radu Tudor Ionescu,Marius Popescuein und machtrelevante Theorieangebote anhand unterschiedlicher Untersuchungsfelderund -themen anhand kommentierter Originaltexte sichtbar. Eseignet sich als Lehrbuch für Studierende ab dem mittleren Studienabschnittund bietet Forschenden eine Einführung, die sowohl die Historiedes Themas vermittelt
10#
發(fā)表于 2025-3-23 06:09:12 | 只看該作者
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