000			03058nam a22004455c 4500
988			_aSpringer_Robotics_2020
999			_c115418 _d115418 _x1
001			115418
003			ES-MaUEC
005			20240111050158.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190801s2020 gw a o |||| 0|eng d
020			_a9783030240707
024	7		_a10.1007/978-3-030-24070-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA347 .A78 _b2020 EB
100	1		_aLes, Zbigniew _eautor _9671738
245	0	0	_aMachine understanding : _bmachine perception and machine perception MU _cby Zbigniew Les, Magdalena Les
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVII, 215 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v842
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aHuman Perception -- Machine Perception - Machine Perception MU -- Machine Perception MU - Shape Classes -- Machine Perception MU - 3D Object Classes -- Machine Perception MU - Picture Classes -- Machine Perception MU - Perceptual Transformation -- Machine Perception MU - Visual Reasoning -- Machine Perception MU - Problem Solving -- Machine Perception MU - Visual Intelligence Tests.
520	3		_aThis unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors' previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aAprendizaje automático _9166090
650		7	_2embne _9139513 _aPercepción
700	1		_aLes, Magdalena _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030240691
776	0	8	_iPrinted edition: _z9783030240714
776	0	8	_iPrinted edition: _z9783030240721
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-24070-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI