| 000 | 03042nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-24034-8 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083302.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 111122s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642240348 _9978-3-642-24034-8 |
||
| 024 | 7 |
_a10.1007/978-3-642-24034-8 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aWeinshall, Daphna. _eeditor. |
|
| 245 | 1 | 0 |
_aDetection and Identification of Rare Audiovisual Cues _h[electronic resource] / _cedited by Daphna Weinshall, Jörn Anemüller, Luc Gool. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
|
| 300 |
_aVIII, 192 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v384 |
|
| 505 | 0 | _aIntroduction -- 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 | _aMachine 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 | _aEngineering. | |
| 650 | 0 | _aMultimedia systems. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aMultimedia Information Systems. |
| 700 | 1 |
_aAnemüller, Jörn. _eeditor. |
|
| 700 | 1 |
_aGool, Luc. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642240331 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v384 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-24034-8 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c102251 _d102251 |
||