Knowledge Transfer between Computer Vision and Text Mining

Name: Knowledge Transfer between Computer Vision and Text Mining
Brand: Springer International Publishing AG
SKU: 9783319303659
Price: 551.58 RON
Availability: InStock

Similarity-based Learning Approaches

Autor: Radu Tudor Ionescu, Marius Popescu

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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551.58 lei

This ground-breaking text/reference diverges§from the traditional view that computer vision (for ima...

Informații despre carte

Autor

Radu Tudor Ionescu, Marius Popescu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2016

Pagini

250

EAN

9783319303659

ISBN

3319303651

Enbook ID

02917796

Editura

Springer International Publishing AG

Greutate

630

Dimensiuni

160 x 241 x 22

Descriere completă

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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Knowledge Transfer between Computer Vision and Text Mining

Similarity-based Learning Approaches

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