|
|
|
|
| LEADER |
02111nma a2200301 u 4500 |
| 001 |
EB002206016 |
| 003 |
EBX01000000000000001343217 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
240502 ||| eng |
| 020 |
|
|
|a 9781789853322
|
| 020 |
|
|
|a 9781838809133
|
| 020 |
|
|
|a intechopen.80151
|
| 020 |
|
|
|a 9781789855616
|
| 100 |
1 |
|
|a Travieso-Gonzalez, Carlos M.
|
| 245 |
0 |
0 |
|a Applications of Pattern Recognition
|h Elektronische Ressource
|
| 260 |
|
|
|b IntechOpen
|c 2021
|
| 300 |
|
|
|a 1 electronic resource (136 p.)
|
| 653 |
|
|
|a Machine learning / bicssc
|
| 653 |
|
|
|a machine learning, deep learning, gene expression, image processing, clustering, biometrics
|
| 700 |
1 |
|
|a Travieso-Gonzalez, Carlos M.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
|
| 028 |
5 |
0 |
|a 10.5772/intechopen.80151
|
| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/8734/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/131108
|z DOAB: description of the publication
|
| 520 |
|
|
|a Nowadays, technological advances allow the development of many applications in different fields. In this book, "Applications of Pattern Recognition", two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.
|