An incremental structured part model for object recognition-Reference-Cited by-同舟云学术

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An incremental structured part model for object recognition

Published:2015-04 Issue: Volume:154 Page:189-199
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Bai Xiao,Ren Peng,Zhang Huigang,Zhou Jun

Funder

NSFC Projects

Qingdao Fundamental Research Project

National Laboratory of Pattern Recognition (NLPR)

Australian Research Councils DECRA Projects

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. I. Endres, K.J. Shih, J. Jiaa, D. Hoiem, Learning collections of part models for object recognition, in: IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 939–946.

2. S. Maji, G. Shakhnarovich, Part discovery from partial correspondence, in: IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 931–938.

3. C. Yang, L. Zhang, H. Lu, X. Ruan, M.-H. Yang, Saliency detection via graph-based manifold ranking, in: IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 3166–3173.

4. Graph characteristics from the heat kernel trace;Xiao;Pattern Recognit.,2009

5. Pattern vectors from algebraic graph theory;Wilson;IEEE Trans. Pattern Anal. Mach. Intell.,2005

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