000			03327nam a22005415i 4500
001			978-981-10-6171-4
003			DE-He213
005			20210201191448.0
007			cr nn 008mamaa
008			180320s2018 si | s |||| 0|eng d
020			_a9789811061714 _9978-981-10-6171-4
050		4	_aQ334-342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
100	1		_aLiu, Huaping. _eauthor. _0(orcid)0000-0002-4042-6044 _1https://orcid.org/0000-0002-4042-6044 _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aRobotic Tactile Perception and Understanding _h[electronic resource] : _bA Sparse Coding Method / _cby Huaping Liu, Fuchun Sun.
250			_a1st ed. 2018.
264		1	_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2018.
300			_aXX, 207 p. 131 illus., 37 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
500			_aAcceso multiusuario
520			_aThis book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.
541			_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023.
650		0	_aArtificial intelligence.
650		0	_aPattern recognition.
650		0	_aOptical data processing.
650	1	4	_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650	2	4	_aPattern Recognition. _0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
650	2	4	_aImage Processing and Computer Vision. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22021
700	1		_aSun, Fuchun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811061707
776	0	8	_iPrinted edition: _z9789811061721
776	0	8	_iPrinted edition: _z9789811338731
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-6171-4
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
942			_cLIBRO_ELEC
999			_c243749 _d243748