|
|
|
|
LEADER |
02309nmm a2200397 u 4500 |
001 |
EB000937529 |
003 |
EBX01000000000000000731121 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
150202 ||| eng |
020 |
|
|
|a 9783319146126
|
100 |
1 |
|
|a Tai, Xue-Cheng
|e [editor]
|
245 |
0 |
0 |
|a Energy Minimization Methods in Computer Vision and Pattern Recognition
|h Elektronische Ressource
|b 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
|c edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
|
250 |
|
|
|a 1st ed. 2015
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2015, 2015
|
300 |
|
|
|a X, 506 p. 179 illus
|b online resource
|
505 |
0 |
|
|a Discrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis
|
653 |
|
|
|a Computer vision
|
653 |
|
|
|a Hardware Performance and Reliability
|
653 |
|
|
|a Algorithms
|
653 |
|
|
|a Computer Vision
|
653 |
|
|
|a Computers
|
653 |
|
|
|a Data mining
|
653 |
|
|
|a Data Mining and Knowledge Discovery
|
653 |
|
|
|a Automated Pattern Recognition
|
653 |
|
|
|a Pattern recognition systems
|
700 |
1 |
|
|a Bae, Egil
|e [editor]
|
700 |
1 |
|
|a Chan, Tony F.
|e [editor]
|
700 |
1 |
|
|a Lysaker, Marius
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
|
028 |
5 |
0 |
|a 10.1007/978-3-319-14612-6
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-14612-6?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.4
|
520 |
|
|
|a This 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
|