000			02920nam a22005295i 4500
001			978-3-319-07416-0
003			DE-He213
005			20200421112226.0
007			cr nn 008mamaa
008			140828s2014 gw | s |||| 0|eng d
020			_a9783319074160 _9978-3-319-07416-0
024	7		_a10.1007/978-3-319-07416-0 _2doi
050		4	_aT385
050		4	_aTA1637-1638
050		4	_aTK7882.P3
072		7	_aUYQV _2bicssc
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.6 _223
100	1		_aHe, Ran. _eauthor.
245	1	0	_aRobust Recognition via Information Theoretic Learning _h[electronic resource] / _cby Ran He, Baogang Hu, Xiaotong Yuan, Liang Wang.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXI, 110 p. 29 illus., 25 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Computer Science, _x2191-5768
505	0		_aIntroduction -- M-estimators and Half-quadratic Minimization -- Information Measures -- Correntropy and Linear Representation -- �1 Regularized Correntropy -- Correntropy with Nonnegative Constraint.
520			_aThis Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have been proffered in the past decade, in a large variety of computer vision applications; this work brings them together, attempts to impart the theory, optimization and usage of information entropy. The authors resort to a new information theoretic concept, correntropy, as a robust measure and apply it to solve robust face recognition and object recognition problems. For computational efficiency, the brief introduces the additive and multiplicative forms of half-quadratic optimization to efficiently minimize entropy problems and a two-stage sparse presentation framework for large scale recognition problems. It also describes the strengths and deficiencies of different robust measures in solving robust recognition problems.
650		0	_aComputer science.
650		0	_aComputer graphics.
650		0	_aImage processing.
650	1	4	_aComputer Science.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aImage Processing and Computer Vision.
700	1		_aHu, Baogang. _eauthor.
700	1		_aYuan, Xiaotong. _eauthor.
700	1		_aWang, Liang. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319074153
830		0	_aSpringerBriefs in Computer Science, _x2191-5768
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-07416-0
912			_aZDB-2-SCS
942			_cEBK
999			_c57681 _d57681