Machine Learning in Document Analysis and Recognition
| Author/creator | Marinai, Simone Editor |
| Other author | Fujisawa, Hiromichi Editor |
| Format | Electronic |
| Publication Info | New York : Springer |
| Description | 433 p. ill 09.380 x 06.370 in. |
| Supplemental Content | Full text available from SpringerLINK Studies in Computational Intelligence Contemporary (1997-present) |
| Subjects |
| Series | Studies in Computational Intelligence Ser. |
| Summary | Annotation The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9783540762799 |
| ISBN | 3540762795 (Trade Cloth) Active Record |
| Standard identifier# | 9783540762799 |
| Stock number | 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |