Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

An Improved SIFT Algorithm Based on Canny Operator and Hillbert - Huang Transform

Authors
Dengshan Huang, Xiaonan Wang, Qi Qin
Corresponding Author
Dengshan Huang
Available Online October 2016.
DOI
10.2991/ceie-16.2017.22How to use a DOI?
Keywords
Canny Operator; Hillbert - Huang Transform; Improved SIFT(Scale Invariant Feature Transform) Algorithm
Abstract

Latent attribute prediction problem in social network provides a set of conditions for the construction of text classification models. The general framework of current latent attribute prediction problems is mapping the text in social network to vector space, along with a classification model to classify different categories. Unfortunately, as the vector space model ignores the similarity and relevance between different words, it fails to identify the semantic fuzziness in natural language and always performs badly on a long text. With the aim of finding a better framework for age prediction problem, in this paper we propose a word embedding based tensor space model which maps text to tensor feature space. The proposed method relies on supervised tensor learning algorithms which are well studied by many scholars, thus allowing for its easy application in text classification problems. Two experiments on different testing sets show the effectiveness and limitation of our approach.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.22How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dengshan Huang
AU  - Xiaonan Wang
AU  - Qi Qin
PY  - 2016/10
DA  - 2016/10
TI  - An Improved SIFT Algorithm Based on Canny Operator and Hillbert - Huang Transform
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 158
EP  - 165
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.22
DO  - 10.2991/ceie-16.2017.22
ID  - Huang2016/10
ER  -