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
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