书目名称 | Knowledge Transfer between Computer Vision and Text Mining |
副标题 | Similarity-based Lea |
编辑 | Radu Tudor Ionescu,Marius Popescu |
视频video | http://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 |
丛书名称 | Advances in Computer Vision and Pattern Recognition |
图书封面 |  |
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 |
关键词 | Computer Vision; Kernel Methods; Knowledge Transfer; Similarity-based Learning; Text Mining |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-30367-3 |
isbn_softcover | 978-3-319-80791-1 |
isbn_ebook | 978-3-319-30367-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
issn_series | 2191-6586 |
copyright | Springer International Publishing Switzerland 2016 |