Knowledge Transfer between Computer Vision and Text Mining: Similarity-based Learning Approaches - Tapa blanda

Sinopsis

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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