- Email: [email protected]
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications
Author’s Accepted Manuscript Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications Lin Zhu Suping Deng De-Shuang Huang www.elsevier.com/locate/neucom
PII: DOI: Reference:
S0925-2312(16)31253-X http://dx.doi.org/10.1016/j.neucom.2016.10.037 NEUCOM17650
To appear in: Neurocomputing Cite this article as: Lin Zhu, Suping Deng and De-Shuang Huang, Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications, Neurocomputing, http://dx.doi.org/10.1016/j.neucom.2016.10.037 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Editorial
Special Issue on Advanced
Intelligent Computing: Theory and Applications Guest Editors: Lin Zhu, Suping Deng, and De-Shuang Huang Lin Zhu, Suping Deng Ph.D & Associated Professor Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Shanghai 201804, China [email protected]
[email protected] De-Shuang Huang, Ph.D & Professor Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Shanghai 201804, China [email protected]
The articles appearing in this special issue on Advanced Intelligent Computing: Theory and Applications are extended versions of the papers presented at the 2015 Eleventh International Conference on Intelligent Computing (ICIC2015) held on August 20-23, 2015 in Fuzhou, Fujian Province, China. All the papers included here have been thoroughly reviewed and revised with the support of many reviewers under the Elsevier Editorial System (EES). Thirty papers representing less than five percent of all eligible papers accepted at the ICIC2015 are selected for inclusion in this special issue. The selected papers are organized into the following sections. Computer Vision This issue starts with using synthetic examples and reverse training to classify image sets by Zhang Lin et al. Wang Bing et al. then proposed to combine uniform LBP histogram distribution and statistics of connected regions to annotate images. Zidong Wang et al. describe a novel local feature descriptor based on energy information for human activity recognition. Ce Li proposes to detect image splicing based on Markov features in QDCT domain. Li Shang et al. focus on preforming image super-resolution reconstruction based on modified sparse
Selected papers from the 2015 Eleventh International Conference on Intelligent Computing (ICIC
2015) 1
representation. Finally, Xiao-Feng Wang et al. develop a hybrid level set method based on image diffusion. Video Technology This issue contains 6 papers on video technology. Firstly, Zhan-Li Sun et al. propose a BRMF-based model for missing-data estimation of image sequence. Chunhou Zheng et al. propose to perform pedestrian detection based on gradient and texture feature integration. Prashan Kumudu Premaratne et al. introduce a novel method for recognizing dynamic hand gesture recognition using discrete hidden Markov models. Peisong He et al. propose to detect double compression in MPEG-4 videos based on block artifact measurement. Guo Zhou et al. investigate the learning of visibility for joint importance sampling of low-order scattering. This is followed by Kang-Hyun Jo et.al, which describes a body part boosting model for carried baggage detection and classification. Neural Networks and Pattern Recognition In this subsection, QingXiang Wu et al. firstly focus on extracting features in color opponent visual pathways using a spiking neural network. Fei Han et al. then describe an improved incremental feedforward networks for extreme learning machine based on particle swarm optimization. Vitoantonio Bevilacqua et al. propose to classify blood vessels and tubules based on Haralick features. Abir Hussain et al. investigate the application of recurrent neural networks in medical data analysis, such as classification of sickle cell disease. Wenlang Luo considers the task of photograph aesthetical evaluation and classification with deep convolutional neural networks. Ben Niu et al. develop a novel bacterial algorithm with randomness control for feature selection in classification. Finally, Jair Cervantes et al. describe a PSO-based method for SVM classification on skewed data sets. Intelligent Data Analysis Firstly, ShengHong Li et al. propose a novel parallel framework for pursuit learning schemes. Zhiwei Ji et al. then investigate online fault detection methods for chillers combining extended Kalman filter and recursive one-class SVM. Aihua Zhang et al. analyze age-related alterations in the sign series entropy of short-term pulse rate variability. This is followed by the work of Abir Hussain, which develops a data science and machine learning approach to measure and monitor physical activity in children. Hee-Jun Kang et al. consider the adaptive terminal sliding mode control of uncertain robotic manipulators based on local approximation of a dynamic system. Finally, Fenglin Sun et al. study the set-based many-objective optimization guided by a preferred region. Bioinformatics This section starts with the paper by Peng Chen et al. about random projection ensemble approach
to
drug-target
interaction
prediction.
Next,
Liu
et
al.
propose
a
joint-l2,1-norm-constraint-based semi-supervised feature extraction for RNA-seq data analysis. Yan et al. propose a cost-sensitive rotation forest algorithm for gene expression data classification. You et al. develop an improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble
2
classifiers. Finally, Wang et al. study the detection of epilepsy with electroencephalogram using rule-based classifiers. It should be stressed that recommendations for this special issue were made by the ICIC2015 International Program Committee, and the final selections were made on the basis of quality, novelty, and theoretical or practical importance. Each paper was subject to two or three rounds of review with a minimum of three reviewers, reflecting the high standards for the selected papers in this issue. We hope that you will find this special issue informative and beneficial to your own work. As guest editors, we would like to take this opportunity to thank all the authors for their contributions to this special issue, and the reviewers for their expert review comments. We would also like to thank the previous Editor-in-Chief of Neurocomputing, Tom Heskes, and the two current Editors-in-Chief of Neurocomputing, Zidong Wang and Steven Hoi, for their advices and supports during the preparation of this special issue. Finally, what it must be stressed is that this special issue was financially supported by the grants of the Natural Science Foundation of China, Nos. 61133010, 61520106006, 31571364, 61532008, 61572364, 61303111, 61411140249, 61402334, and 61472280.
3
PII: DOI: Reference:
S0925-2312(16)31253-X http://dx.doi.org/10.1016/j.neucom.2016.10.037 NEUCOM17650
To appear in: Neurocomputing Cite this article as: Lin Zhu, Suping Deng and De-Shuang Huang, Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications, Neurocomputing, http://dx.doi.org/10.1016/j.neucom.2016.10.037 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Editorial
Special Issue on Advanced
Intelligent Computing: Theory and Applications Guest Editors: Lin Zhu, Suping Deng, and De-Shuang Huang Lin Zhu, Suping Deng Ph.D & Associated Professor Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Shanghai 201804, China [email protected]
[email protected] De-Shuang Huang, Ph.D & Professor Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Shanghai 201804, China [email protected]
The articles appearing in this special issue on Advanced Intelligent Computing: Theory and Applications are extended versions of the papers presented at the 2015 Eleventh International Conference on Intelligent Computing (ICIC2015) held on August 20-23, 2015 in Fuzhou, Fujian Province, China. All the papers included here have been thoroughly reviewed and revised with the support of many reviewers under the Elsevier Editorial System (EES). Thirty papers representing less than five percent of all eligible papers accepted at the ICIC2015 are selected for inclusion in this special issue. The selected papers are organized into the following sections. Computer Vision This issue starts with using synthetic examples and reverse training to classify image sets by Zhang Lin et al. Wang Bing et al. then proposed to combine uniform LBP histogram distribution and statistics of connected regions to annotate images. Zidong Wang et al. describe a novel local feature descriptor based on energy information for human activity recognition. Ce Li proposes to detect image splicing based on Markov features in QDCT domain. Li Shang et al. focus on preforming image super-resolution reconstruction based on modified sparse
Selected papers from the 2015 Eleventh International Conference on Intelligent Computing (ICIC
2015) 1
representation. Finally, Xiao-Feng Wang et al. develop a hybrid level set method based on image diffusion. Video Technology This issue contains 6 papers on video technology. Firstly, Zhan-Li Sun et al. propose a BRMF-based model for missing-data estimation of image sequence. Chunhou Zheng et al. propose to perform pedestrian detection based on gradient and texture feature integration. Prashan Kumudu Premaratne et al. introduce a novel method for recognizing dynamic hand gesture recognition using discrete hidden Markov models. Peisong He et al. propose to detect double compression in MPEG-4 videos based on block artifact measurement. Guo Zhou et al. investigate the learning of visibility for joint importance sampling of low-order scattering. This is followed by Kang-Hyun Jo et.al, which describes a body part boosting model for carried baggage detection and classification. Neural Networks and Pattern Recognition In this subsection, QingXiang Wu et al. firstly focus on extracting features in color opponent visual pathways using a spiking neural network. Fei Han et al. then describe an improved incremental feedforward networks for extreme learning machine based on particle swarm optimization. Vitoantonio Bevilacqua et al. propose to classify blood vessels and tubules based on Haralick features. Abir Hussain et al. investigate the application of recurrent neural networks in medical data analysis, such as classification of sickle cell disease. Wenlang Luo considers the task of photograph aesthetical evaluation and classification with deep convolutional neural networks. Ben Niu et al. develop a novel bacterial algorithm with randomness control for feature selection in classification. Finally, Jair Cervantes et al. describe a PSO-based method for SVM classification on skewed data sets. Intelligent Data Analysis Firstly, ShengHong Li et al. propose a novel parallel framework for pursuit learning schemes. Zhiwei Ji et al. then investigate online fault detection methods for chillers combining extended Kalman filter and recursive one-class SVM. Aihua Zhang et al. analyze age-related alterations in the sign series entropy of short-term pulse rate variability. This is followed by the work of Abir Hussain, which develops a data science and machine learning approach to measure and monitor physical activity in children. Hee-Jun Kang et al. consider the adaptive terminal sliding mode control of uncertain robotic manipulators based on local approximation of a dynamic system. Finally, Fenglin Sun et al. study the set-based many-objective optimization guided by a preferred region. Bioinformatics This section starts with the paper by Peng Chen et al. about random projection ensemble approach
to
drug-target
interaction
prediction.
Next,
Liu
et
al.
propose
a
joint-l2,1-norm-constraint-based semi-supervised feature extraction for RNA-seq data analysis. Yan et al. propose a cost-sensitive rotation forest algorithm for gene expression data classification. You et al. develop an improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble
2
classifiers. Finally, Wang et al. study the detection of epilepsy with electroencephalogram using rule-based classifiers. It should be stressed that recommendations for this special issue were made by the ICIC2015 International Program Committee, and the final selections were made on the basis of quality, novelty, and theoretical or practical importance. Each paper was subject to two or three rounds of review with a minimum of three reviewers, reflecting the high standards for the selected papers in this issue. We hope that you will find this special issue informative and beneficial to your own work. As guest editors, we would like to take this opportunity to thank all the authors for their contributions to this special issue, and the reviewers for their expert review comments. We would also like to thank the previous Editor-in-Chief of Neurocomputing, Tom Heskes, and the two current Editors-in-Chief of Neurocomputing, Zidong Wang and Steven Hoi, for their advices and supports during the preparation of this special issue. Finally, what it must be stressed is that this special issue was financially supported by the grants of the Natural Science Foundation of China, Nos. 61133010, 61520106006, 31571364, 61532008, 61572364, 61303111, 61411140249, 61402334, and 61472280.
3