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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionTo address this problem, we propose a novel method called anchor-based spectral clustering (ASC) by employingThe proposed method, ASC, is compared to the classical spectral clustering and two state-of-the-art acceleratingmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering with

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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A social tag clustering method based on common co-occurrence group similarity

Hui-zong LI,Xue-gang HU,Yao-jin LIN,Wei HE,Jian-han PAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 122-134 doi: 10.1631/FITEE.1500187

Abstract: Tag clustering can aggregate tags with similar semantics together, and help mitigate the above problemsThen we propose a spectral clustering method to address the high dimensionality and sparsity of the annotating

Keywords： Social tagging systems     Tag co-occurrence     Spectral clustering     Group similarity http://dx.doi.org/10.1631    

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Two-level hierarchical feature learning for image classification Article

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 897-906 doi: 10.1631/FITEE.1500346

Abstract: In some image classification tasks, similarities among different categories are different and the samples are usually misclassified as highly similar categories. To distinguish highly similar categories, more specific features are required so that the classifier can improve the classification performance. In this paper, we propose a novel two-level hierarchical feature learning framework based on the deep convolutional neural network (CNN), which is simple and effective. First, the deep feature extractors of different levels are trained using the transfer learning method that fine-tunes the pre-trained deep CNN model toward the new target dataset. Second, the general feature extracted from all the categories and the specific feature extracted from highly similar categories are fused into a feature vector. Then the final feature representation is fed into a linear classifier. Finally, experiments using the Caltech-256, Oxford Flower-102, and Tasmania Coral Point Count (CPC) datasets demonstrate that the expression ability of the deep features resulting from two-level hierarchical feature learning is powerful. Our proposed method effectively increases the classification accuracy in comparison with flat multiple classification methods.

Keywords： Transfer learning     Feature learning     Deep convolutional neural network     Hierarchical classification     Spectralclustering    

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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords： uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: the fault feature of planet gear effectively, we propose a novel feature extraction method based on spectralFirstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereThe results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clusteringThe -means clustering were implemented as an unsupervised learning methodology for the clustering analysiselectrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 449-456 doi: 10.1631/FITEE.1400377

Abstract: In existing stratified sampling methods, however, all the pages in a website need to be analyzed for clusteringTo address this issue, we propose a novel page sampling method based on URL clustering for web accessibility

Keywords： Page sampling     URL clustering     Web accessibility evaluation    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presenteddetect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Engineering doi: 10.1016/j.eng.2023.07.008

Abstract: Wide-angle imaging and spectral detection play vital roles in tasks such as target tracking, object classificationproof-of-concept demonstration, the simultaneous implementation of wide-angle imaging and polarization-spectralThe proposed system supports the imaging (spectral) resolution of approximately 27.8 line-pairs per millimeter(lp·mm−1; ∼80 nm) for an imaging (spectral) mode from 8 to 14 μm.

Keywords： Metasurfaces     Reconfigurable     Imaging     Spectral    

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Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2011, Volume 5, Issue 2,   Pages 149-158 doi: 10.1007/s11708-010-0124-8

Abstract: Based on the statistical narrow-band (SNB) spectral model with an exponential-tailed inverse intensity

Keywords： soot     combustion     SNB model     nongray radiation    

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Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 138-143 doi: 10.1007/s11708-013-0283-5

Abstract: Spectral technology has become an important detection method due to its advantages such as non-intrusiveIn this paper, two applications of spectral technology in thermal detection were proposed.

Keywords： spectrum     emissivity measurement     component of fuel     near-infrared spectrometer    

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Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 187-197 doi: 10.1007/s11783-008-0004-1

Abstract: The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which areSpectral data were processed concerning reflectance, and the averaged reflectance values for each samplewere re-analysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager.The spectral data were summarised using principal components analysis (PCA) and the relationships betweenthe vegetation composition, and the PCA axes of spectral data were examined.

Keywords： Spectral     multi-seasonal hyperspectral     invasive     JR     re-analysed    

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Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: The numerical model is set up using the spectral element method, which is promised to be of high numerical

Keywords： PZT     piezoelectric impedance     optimization     spectral element     damage identification    

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The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: certainly qualitative, fuzzy, non-numerical, assembly sequence is regarded as a gray system, and grey clusteringThis paper analyzes the gray classification of the influence factor and studies grey clustering decision

Keywords： assembly sequence     petri net     grey clustering decision method    

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Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 21-29

Abstract:

Welding arc is full of spectral information.situation of the research on this field, expounded the principle of measurement and control by welding arc spectralinformation, described the application situation of welding arc spectral information, for example, theAt the same time, the authors have also introduced the application of arc spectral information in the

Keywords： spectral information     welding arc     plasma     diagnosis     automation    

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Title Author Date Type Operation

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

A social tag clustering method based on common co-occurrence group similarity

Hui-zong LI,Xue-gang HU,Yao-jin LIN,Wei HE,Jian-han PAN

Journal Article

Two-level hierarchical feature learning for image classification

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Journal Article

Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Journal Article

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Journal Article

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Journal Article