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An Adaptive Position Synchronization Controller Using Orthogonal Neural Network for 3-DOF Planar Parallel Manipulators Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Multi-modal SPM Model for Image Classification

Authors : Peng Zheng, Zhong-Qiu Zhao, Jun Gao

Published in: Intelligent Computing Methodologies

Publisher: Springer International Publishing

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Abstract

The BoF (bag-of-features) model is one of the most famous models applied to many fields in computer vision and has achieved impressive results. However, the SIFT/HOG visual words have a limit discriminative power which is partly due to the fact that it only describes the local gradient distribution. In the meanwhile, there is still redundancy and hidden information existed in the formed histogram. Considering these respects, we propose a multi-modal SPM model which fuses global features to complement traditional local ones and conducts dimensionality reduction in local spaces for mining possible feature dependencies. Experimental results show the efficiency of the proposed method in comparison with the existing counterparts.

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Metadata
Title
A Multi-modal SPM Model for Image Classification
Authors
Peng Zheng
Zhong-Qiu Zhao
Jun Gao
Copyright Year
2017
Book
Intelligent Computing Methodologies

Print ISBN: 978-3-319-63314-5

Electronic ISBN: 978-3-319-63315-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-63315-2_46

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