Knowledge Transfer between Computer Vision and Text Mining (eBook)

Similarity-based Learning Approaches

Radu Tudor Ionescu, Marius Popescu (Autoren)

eBook Download: PDF

2016 | 1st ed. 2016
XXIV, 250 Seiten
Springer International Publishing (Verlag)
978-3-319-30367-3 (ISBN)

Infos

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 (SBL) techniques founded on this approach. Topics and features: describes a variety of SBL approaches, including nearest neighbor models, local learning, kernel methods, and clustering algorithms; presents a nearest neighbor model based on a novel dissimilarity for images; discusses a novel kernel for (visual) word histograms, as well as several kernels based on a pyramid representation; introduces an approach based on string kernels for native language identification; contains links for downloading relevant open source code.

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.

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 25.4.2016
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Zusatzinfo: XXIV, 250 p. 42 illus., 33 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Grafik / Design
• Schlagworte: computer vision • Kernel Methods • Knowledge Transfer • similarity-based learning • Text Mining
• ISBN-10: 3-319-30367-8 / 3319303678
• ISBN-13: 978-3-319-30367-3 / 9783319303673