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

Knowledge Transfer between Computer Vision and Text Mining

Similarity-based Learning Approaches

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
432.51
This ground-breaking text/reference diverges from the traditional view that computer vision (for ima...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2018
strony
250
EAN
9783319807911
Enbook ID
20118522
Waga
4721
Wymiary
155 x 235 x 15

Pełny opis

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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