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  1. Science in China Series : Information Sciences
  2. Science in China Series : Information Sciences : Volume 59
  3. Science in China Series : Information Sciences : Volume 59, Issue 1, January 2016
  4. Nonnegative correlation coding for image classification
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Science in China Series : Information Sciences : Volume 61
Science in China Series : Information Sciences : Volume 60
Science in China Series : Information Sciences : Volume 59
Science in China Series : Information Sciences : Volume 59, Issue 12, December 2016
Science in China Series : Information Sciences : Volume 59, Issue 11, November 2016
Science in China Series : Information Sciences : Volume 59, Issue 10, October 2016
Science in China Series : Information Sciences : Volume 59, Issue 9, September 2016
Science in China Series : Information Sciences : Volume 59, Issue 8, August 2016
Science in China Series : Information Sciences : Volume 59, Issue 7, July 2016
Science in China Series : Information Sciences : Volume 59, Issue 6, June 2016
Science in China Series : Information Sciences : Volume 59, Issue 5, May 2016
Science in China Series : Information Sciences : Volume 59, Issue 4, April 2016
Science in China Series : Information Sciences : Volume 59, Issue 2, February 2016
Science in China Series : Information Sciences : Volume 59, Issue 1, January 2016
Editor’s Note
Multi-target positioning for passive sensor network via bistatic range space projection
Transmission frequency-band hidden technology in physical layer security
Mubug: a mobile service for rapid bug tracking
An introduction to CPU and DSP design in China
A new method for early detection of myocardial ischemia: cardiodynamicsgram (CDG)
Formation control of multiple Euler-Lagrange systems via null-space-based behavioral control
Design of evacuation strategies with crowd density feedback
A dynamic PUF anti-aging authentication system based on restrict race code
Stability of nonlinear feedback shift registers
Global practical tracking via adaptive output-feedback for uncertain nonlinear systems with generalized control coefficients
Sufficient and necessary conditions for global stability of genetic regulator networks with time delays
Leader-following adaptive consensus of multiple uncertain rigid spacecraft systems
A fixed-parameter algorithm for the maximum agreement forest problem on multifurcating trees
Unsupervised learning of Dirichlet process mixture models with missing data
Nonnegative correlation coding for image classification
Constructing ECOC based on confusion matrix for multiclass learning problems
BufferBank storage: an economic, scalable and universally usable in-network storage model for streaming data applications
A compressive tracking based on time-space Kalman fusion model
A junction-by-junction feedback-based strategy with convergence analysis for dynamic traffic assignment
Science in China Series : Information Sciences : Volume 58
Science in China Series : Information Sciences : Volume 57
Science in China Series : Information Sciences : Volume 56
Science in China Series : Information Sciences : Volume 55
Science in China Series : Information Sciences : Volume 54
Science in China Series : Information Sciences : Volume 53
Science in China Series : Information Sciences : Volume 52
Science in China Series : Information Sciences : Volume 51
Science in China Series : Information Sciences : Volume 50
Science in China Series : Information Sciences : Volume 49
Science in China Series : Information Sciences : Volume 48
Science in China Series : Information Sciences : Volume 47
Science in China Series : Information Sciences : Volume 46
Science in China Series : Information Sciences : Volume 45
Science in China Series : Information Sciences : Volume 44

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Nonnegative correlation coding for image classification

Content Provider Springer Nature Link
Author Dong, Zhen Liang, Wei Wu, Yuwei Pei, Mingtao Jia, Yunde
Copyright Year 2016
Abstract Feature coding is one of the most important procedures in the bag-of-features model for image classification. In this paper, we propose a novel feature coding method called nonnegative correlation coding. In order to obtain a discriminative image representation, our method employs two correlations: the correlation between features and visual words, and the correlation between the obtained codes. The first correlation reflects the locality of codes, i.e., the visual words close to the local feature are activated more easily than the ones distant. The second correlation characterizes the similarity of codes, and it means that similar local features are likely to have similar codes. Both correlations are modeled under the nonnegative constraint. Based on the Nesterov’s gradient projection algorithm, we develop an effective numerical solver to optimize the nonnegative correlation coding problem with guaranteed quadratic convergence. Comprehensive experimental results on publicly available datasets demonstrate the effectiveness of our method.本文提出了一种用于图像分类的编码方法,称为“非负关联编码”。为了获得有判别力的图像表示,非负关联编码利用了两种关系:一是待编码的局部特征与视觉单词之间的关系,它反映了编码过程的局部性,即局部特征倾向于利用距离它较近的视觉单词进行表达;二是编码之间的关系,它体现了编码过程的相似性,即相似的局部特征具有相似的编码。这两种关系都在非负约束的条件下建模。另外,本文基于NGP(Nesterov梯度投影)方法提出了一种用于求解非负关联编码的有效算法。公共数据集上的实验结果证明了方法的有效性。
Starting Page 1
Ending Page 14
Page Count 14
File Format PDF
ISSN 1674733X
Journal Science in China Series : Information Sciences
Volume Number 59
Issue Number 1
e-ISSN 18691919
Language Chinese
Publisher Science China Press
Publisher Date 2015-05-19
Publisher Place Beijing
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword image classification correlation coding nonnegativity locality similarity Information Systems and Communication Service
Content Type Text
Resource Type Article
Subject Computer Science
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