Knowledge Transfer between Computer Vision and Text Mining Similarity-based Learning Approaches
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 ret...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2016, 2016
|
| Edition: | 1st ed. 2016 |
| Series: | Advances in Computer Vision and Pattern Recognition
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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