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007			cr nn 008mamaa
008			140814s2015 si | s |||| 0|eng d
020			_a9789812871671
024	7		_a10.1007/978-981-287-167-1 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA166.2 _b2015 EB
100	1		_aYu, Gang. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n81116859 _1http://viaf.org/viaf/73995735/
245	1	0	_aHuman Action Analysis with Randomized Trees _cby Gang Yu, Junsong Yuan, Zicheng Liu.
264		1	_aSingapore _bSpringer International Publishing _c2015
300			_a1 recurso en línea (VIII, 83 páginas 30 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringerBriefs in Signal Processing, _x2196-4076
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction to Human Action Analysis -- Supervised Trees for Human Action Recognition and Detection -- Unsupervised Trees for Human Action Search -- Propagative Hough Voting to Leverage Contextual Information -- Human Action Prediction with Multi-class Balanced Random Forest -- Conclusion.
520	3		_aThis book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
988			_aEBSPRINGER_2018
650		7	_9668434 _aÁrboles (Teoría de grafos)
700	1		_aYuan, Junsong. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _997022
700	1		_aLiu, Zicheng. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2015016432 _1http://viaf.org/viaf/8824832/
776	0	8	_iEdición impresa: _z9789812871688
776	0	8	_iEdición impresa: _z9789812871664
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-287-167-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI