| 000 | 03036nam a22004455c 4500 | ||
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| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c115345 _d115345 _x1 |
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| 001 | 115345 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040230.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190812s2020 si a o |||| 0|eng d | ||
| 020 | _a9789811392177 | ||
| 024 | 7 |
_a10.1007/978-981-13-9217-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ325.5 _b2020 EB |
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| 100 | 1 |
_aWang, Xiaochun _eautor _9671762 |
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| 245 | 1 | 0 |
_aMachine learning-based natural scene recognition for mobile robot localization in an unknown environment _cby Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020 |
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| 300 |
_a1 recurso en línea (XXII, 328 páginas) _b99 ilustraciones, 78 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aPart I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning. | |
| 520 | 3 | _aThis book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. | |
| 650 | 7 |
_2embne _aAprendizaje automático _9166090 |
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| 650 | 7 |
_2embne _9160722 _aRobots móviles |
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| 650 | 7 |
_2embne _aReconocimiento de formas _9152614 |
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| 700 | 1 |
_aWang, Xiali _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aWilkes, Don Mitchell _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811392160 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811392184 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811392191 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9217-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
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