CUDA-based parallelization of a bio-inspired model for fast object classification-Reference-Cited by-同舟云学术

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CUDA-based parallelization of a bio-inspired model for fast object classification

Published:2017-02-24 Issue:10 Volume:30 Page:3007-3018
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Hernández Daniel E.,Olague Gustavo,Hernández Benjamín,Clemente Eddie

Funder

7th Framework European Union Marie Curie International Research Staff

CONACyT

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-017-2873-3/fulltext.html

Reference39 articles.

1. Hsuan L, Chih-Yin L, Chih-Jui L, Chien-Feng H, Ri-Wei D, Tzuu-Hseng S (2014) Implementation of real-time object recognition system for home-service robot by integrating SURF and BRISK. IEEE international conference on system science and engineering (ICSSE), pp 273–278

2. Muller UA, Jackel LD, LeCun Y, Flepp B (2013) Real-time adaptive off-road vehicle navigation and terrain classification. Proc SPIE, Unmanned Syst Technol XV 8741:87410A–1

3. Salas-Moreno RF, Newcombe RA, Strasdat H, Kelly PHJ, Davison AJ (2013) SLAM++: simultaneous localisation and mapping at the level of objects. IEEE conference on computer vision and pattern recognition (CVPR) 1352(1359):23–28

4. Zhang X, Yang Y-H, Han Z, Wang H, Gao C (2013) Object class detection: a survey. ACM Comput Surv 46(1, 10):53

5. Olague G (2016) Evolutionary computer vision: the first footprints. Springer, Berlin, p 411

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