Könyv Knowledge Transfer between Computer Vision and Text Mining Radu Tudor Ionescu

Knowledge Transfer between Computer Vision and Text Mining

Similarity-based Learning Approaches

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
39 264 Ft
This ground-breaking text/reference diverges§from the traditional view that computer vision (for ima...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2016
oldal
250
EAN
9783319303659
ISBN
3319303651
Enbook ID
02917796
Súly
630
Méretek
160 x 241 x 22

Teljes leírás

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.

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