Resource Type

Journal Article 89

Conference Videos 1

Year

2023 12

2022 7

2021 5

2020 8

2019 8

2018 6

2017 10

2016 6

2015 4

2013 1

2011 2

2010 5

2009 2

2007 5

2006 2

2005 2

2004 2

2001 2

2000 1

open ︾

Keywords

Local learning 2

Monte Carlo method 2

Network embedding 2

Network virtualization 2

PM2.5 2

Representation learning 2

2019-nCoV 1

2022 Winter Olympics 1

Acetylene semi-hydrogenation 1

Action recognition 1

Active learning 1

Adaptation 1

Adaptive embedding strategy 1

Adaptive features 1

Adaptive most significant bit (MSB) prediction 1

Adaptive quadtree partitioning 1

Additional load of ballastless track 1

Advanced analysis 1

Anthropogenic geomorphologic change 1

open ︾

Search scope:

排序： Display mode:

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: However, the extracted features also have overlapping discriminant information.In this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantembedding (LULDE).The proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inFirst, a new local statistical uncorrelated criterion is proposed, which effectively captures the local

Keywords： Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

HTML PDF Collect

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article

Yaoyao Bao, Yuanming Zhu, Feng Qian

Engineering 2022, Volume 18, Issue 11,   Pages 186-196 doi: 10.1016/j.eng.2022.04.025

Abstract: Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the localquadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neuralBased on the hypothesis of local quadratic interpolation, the algorithm introduces two lightweight NNs; one is used to learn the coefficient matrix in the local quadratic model, and the other is implementedfor weight assignment for the prediction results obtained from different local neighbors.

Keywords： Local quadratic embedding     Metric learning     Regression machine     Soft sensor    

HTML PDF Collect

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 617-633 doi: 10.1631/FITEE.1400263

Abstract: A local discriminant regularized soft -means (LDRSKM) method with Bayesian inference is proposed forLDRSKM extends the regularized soft -means algorithm by exploiting the local and non-local geometricinformation of the data and generalized linear discriminant analysis to provide a better and more meaningfulTwo Bayesian inference based global fault detection indicators are then developed using the local monitoringanalysis, Bayesian inference and manifold learning methods, the within and cross-mode correlations, and local

Keywords： Multimode process monitoring     Local discriminant regularized soft k-means clustering     Kernel support    

HTML PDF Collect

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantHowever, most of the algorithms use only the local information of a node, such as CPU capacity and bandwidthconsidering the topological attributes which may pose significant impact on the performance of the embeddingIn this paper, a new embedding algorithm is proposed based on real-time topological attributes.A simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords： Virtual network embedding (VNE)     Real-time topological attributes     Betweenness centrality     Correlation    

HTML PDF Collect

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: classification of complicated mechanical faults, an approach to multi-faults classification based on generalized discriminantCompared with linear discriminant analysis (LDA), generalized discriminant analysis (GDA), one of nonlineardiscriminant analysis methods, is more suitable for classifying the linear non-separable problem.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

HTML PDF Collect

Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embeddingtasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a jointembedding scheme.In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluateExperimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

HTML PDF Collect

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximum

Keywords： second-order maximum entropy     local maximum entropy     second- and fourth-order phase-field models     B-spline    

HTML PDF Collect

Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4,   Pages 418-433 doi: 10.1007/s11783-007-0068-3

Abstract: The challenge of making central requirements work at local levels is a common problem for environmentalCountries can learn from one another s approaches, but must understand the local context in w
HTML PDF Collect

EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 61-72 doi: 10.15302/J-FASE-2022476

Abstract:

● Promotion of local sustainable innovation developed by forest farmers

Keywords： agroforestry     forest farmers     local innovation     relative advantage     social forestry    

HTML PDF Collect

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0961-3

Abstract: A novel microorganism embedding material was prepared to enhance the biological nitrogen removal throughrate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding

Keywords： Immobilization technology     Nitrogen removal     Cyclodextrin     Microbial community     Wastewater treatment    

HTML PDF Collect

Role of local governments in fostering the development of an emerging industry: A market-oriented policy

Jun JIN, Maureen McKELVEY, Ying DONG

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 447-458 doi: 10.1007/s42524-020-0104-6

Abstract: This research investigates the role of local governments in stimulating an emerging industry and focusesMoreover, the primary contribution of this study is to emphasize the support of the local government

Keywords： market demand     local government     new energy vehicles    

HTML PDF Collect

Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM2.5-related deaths were estimated to be 227 thousand in BTH & surrounding regions.

Keywords： PM2.5     Regional transport     Local emissions     Health impact     Environmental inequality    

HTML PDF Collect

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract:

2DLDA algorithm is based on2D matrices and overleaps the step of transforming the matrices into the corresponding vectors,which is done on conventional LDA algorithm.However,performance of recognition rate may always be degraded by the overlapping(outlier)samples et al in the field of pattern recognition.How to avoid these shortcomings and extract optimal features to improve the performance of recognition is a key step. In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implemented first to achieve the distribution information of original samples represented with fuzzy membership degrees and is incorporated into the process of feature extraction.The proposed algorithm inherits the virtue of conventional2DLDA and suppresses the shortcoming resulted by overlappin g(outlier)samples et al. Experimental results on AT&T face database demonstrate rec ognition rates of the proposed algorithm outperform that of conventional2DLDA and fisherface.

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

HTML PDF Collect

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 547-557 doi: 10.1007/s11465-020-0595-1

Abstract: Carbon fiber reinforced polymer (CFRP) composites have excellent mechanical properties, specifically, high specific stiffness and strength. However, most CFRP composites exhibit poor impact resistance. To overcome this limitation, this study presents a new plain-woven CFRP composite embedded with superelastic shape memory alloy (SMA) wires. Composite specimens are fabricated using the vacuum-assisted resin injection method. Drop-weight impact tests are conducted on composite specimens with and without SMA wires to evaluate the improvement of impact resistance. The material models of the CFRP composite and superelastic SMA wire are introduced and implemented into a finite element (FE) software by the explicit user-defined material subroutine. FE simulations of the drop-weight impact tests are performed to reveal the superelastic deformation and debonding failure of the SMA inserts. Improvement of the energy absorption capacity and toughness of the SMA-CFRP composite is confirmed by the comparison results.

Keywords： carbon fiber reinforced polymer composite     shape memory alloy wire     impact resistance     drop-weight test     finite element simulation    

HTML PDF Collect

A Study on the Essence of Optimal Statistical Uncorrelated Discriminant Vectors

Wu Xiaojun,Yang Jingyu,Wang Shitong,Liu Tongming,Josef Kittler

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 44-47

Abstract:

A study has been made on the essence of optimal set of uncorrelated discriminant vectors in this paperThus, the optimal discriminant vectors solved by conventional LDA methods are statistical uncorrelatedThe research indicates that the essence of the statistical uncorrelated discriminant transform is thewhitening transform plus conventional linear discriminant transform.The distinguished characteristic of the proposed method is that the obtained optimal discriminant vectors

Keywords： pattern recognition     feature extraction     disciminant analysis     generalized optimal set of discriminant    

HTML PDF Collect

Title Author Date Type Operation

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

Yaoyao Bao, Yuanming Zhu, Feng Qian

Journal Article

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Journal Article

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Journal Article

Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Journal Article

EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

Journal Article

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Journal Article

Role of local governments in fostering the development of an emerging industry: A market-oriented policy

Jun JIN, Maureen McKELVEY, Ying DONG

Journal Article

Understand the local and regional contributions on air pollution from the view of human health impacts

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Journal Article

A Study on the Essence of Optimal Statistical Uncorrelated Discriminant Vectors

Wu Xiaojun,Yang Jingyu,Wang Shitong,Liu Tongming,Josef Kittler

Journal Article