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024 7 _a10.1007/978-3-319-14612-6
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245 1 0 _aEnergy Minimization Methods in Computer Vision and Pattern Recognition
_h[electronic resource] :
_b10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings /
_cedited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aX, 506 p. 179 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v8932
505 0 _aDiscrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis.
520 _aThis volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
650 0 _aPattern recognition systems.
650 0 _aComputers.
650 0 _aComputer vision.
650 0 _aAlgorithms.
650 0 _aData mining.
650 1 4 _aAutomated Pattern Recognition.
650 2 4 _aHardware Performance and Reliability.
650 2 4 _aComputer Vision.
650 2 4 _aAlgorithms.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aTai, Xue-Cheng.
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700 1 _aBae, Egil.
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700 1 _aChan, Tony F.
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700 1 _aLysaker, Marius.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319146133
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v8932
856 4 0 _uhttps://doi.org/10.1007/978-3-319-14612-6
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