Knowledge Transfer between Computer Vision and Text Mining (Record no. 59096)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04054nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-30367-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112555.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160425s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319303673 |
| -- | 978-3-319-30367-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Ionescu, Radu Tudor. |
| 245 10 - TITLE STATEMENT | |
| Title | Knowledge Transfer between Computer Vision and Text Mining |
| Sub Title | Similarity-based Learning Approaches / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXIV, 250 p. 42 illus., 33 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Computer Vision and Pattern Recognition, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Motivation and Overview -- Learning Based on Similarity -- Part I: Knowledge Transfer from Text Mining to Computer Vision -- State of the Art Approaches for Image Classification -- Local Displacement Estimation of Image Patches and Textons -- Object Recognition with the Bag of Visual Words Model -- Part II: Knowledge Transfer from Computer Vision to Text Mining -- State of the Art Approaches for String and Text Analysis -- Local Rank Distance -- Native Language Identification with String Kernels -- Spatial Information in Text Categorization -- Conclusions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This ground-breaking text/reference diverges from the traditional view that computer vision (for image analysis) and string processing (for text mining) are separate and unrelated fields of study, propounding that images and text can be treated in a similar manner for the purposes of information retrieval, extraction and classification. Highlighting the benefits of knowledge transfer between the two disciplines, the text presents a range of novel similarity-based learning techniques founded on this approach. Topics and features: Describes a variety of similarity-based learning approaches, including nearest neighbor models, local learning, kernel methods, and clustering algorithms Presents a nearest neighbor model based on a novel dissimilarity for images, and applies this for handwritten digit recognition and texture analysis Discusses a novel kernel for (visual) word histograms, as well as several kernels based on pyramid representation, and uses these for facial expression recognition and text categorization by topic Introduces an approach based on string kernels for native language identification Contains links for downloading relevant open source code With a foreword by Prof. Florentina Hristea This unique work will be of great benefit to researchers, postgraduate and advanced undergraduate students involved in machine learning, data science, text mining and computer vision. Dr. Radu Tudor Ionescu is an Assistant Professor in the Department of Computer Science at the University of Bucharest, Romania. Dr. Marius Popescu is an Associate Professor at the same institution. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Popescu, Marius. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-30367-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2016. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2191-6586 |
| 912 ## - | |
| -- | ZDB-2-SCS |
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