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Detection and Identification of Rare Audio-visual Cues
Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to th...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Colección: | Studies in Computational Intelligence,
384 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-24034-8 | ||
| 003 | DE-He213 | ||
| 005 | 20220120211302.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 111122s2012 gw | s |||| 0|eng d | ||
| 020 | |a 9783642240348 |9 978-3-642-24034-8 | ||
| 024 | 7 | |a 10.1007/978-3-642-24034-8 |2 doi | |
| 050 | 4 | |a Q342 | |
| 072 | 7 | |a UYQ |2 bicssc | |
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| 072 | 7 | |a UYQ |2 thema | |
| 082 | 0 | 4 | |a 006.3 |2 23 |
| 245 | 1 | 0 | |a Detection and Identification of Rare Audio-visual Cues |h [electronic resource] / |c edited by Daphna Weinshall, Jörn Anemüller, Luc van Gool. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2012. | |
| 300 | |a VIII, 192 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 384 | |
| 505 | 0 | |a Introduction -- The DIRAC project -- The detection of incongruent events, project survey and algorithms -- Alternative frameworks to detect meaningful novel events -- Dealing with meaningful novel events, what to do after detection -- How biological systems deal with novel and incongruent events. | |
| 520 | |a Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Multimedia systems. | |
| 650 | 1 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Multimedia Information Systems. |
| 700 | 1 | |a Weinshall, Daphna. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Anemüller, Jörn. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a van Gool, Luc. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642269721 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642240355 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642240331 |
| 830 | 0 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 384 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-24034-8 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||