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A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 50-55

Abstract:

A novel face recognition algorithm based on two kinds of projection is presented in this paper.Then the fusion features in the complex feature space is extracted by using complex PCA (CPCA).The experimental results indicate that the proposed method can achieve about 10% higher recognition accurate

Keywords： feature fusion     linear discriminant analysis (LDA)     feature extraction     face recognition    

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: Emotion-based features are critical for achieving high performance in a speech emotion recognition (SERIn this paper, we apply several unsupervised feature learning algorithms (including -means clustering), which have promise for learning task-related features by using unlabeled data, to speech emotion recognition

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial Article

Ping-ping WU, Hong LIU, Xue-wu ZHANG, Yuan GAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 955-967 doi: 10.1631/FITEE.1600041

Abstract: Most previous related works about spontaneous versus posed smile recognition concentrate on extractingA mid-level fusion strategy of support vector machine is employed to combine the two feature types.

Keywords： Facial landmark localization     Geometric feature     Appearance feature     Smile recognition    

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Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation Research Articles

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1133-1146 doi: 10.1631/FITEE.1800025

Abstract: FH transmitter classification is a significant and challenging issue for FH transmitter fingerprint featurerecognition, since it not only is sensitive to noise but also has non-linear, non-Gaussian, and non-stabilityclassifier, called the kernel joint representation classifier (KJRC), for FH transmitter fingerprint featurerecognition, by integrating kernel projection, collaborative feature representation, and classifiersignals demonstrate the effectiveness of the proposed method in comparison with several state-of-the-art recognition

Keywords： Frequency-hopping     Fingerprint feature     Kernel function     Joint representation     Transmitter recognition    

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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: The feature extraction algorithm plays an important role in face recognition.In this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantB, and FERET databases demonstrate that LULDE outperforms LDE and other representative uncorrelated feature

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

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Research and Development of CAD/CAPP/CAM Integrated System

Wei Erwei,Liang Muyang,Yang Ping

Strategic Study of CAE 2000, Volume 2, Issue 4,   Pages 59-63

Abstract: It consists of three subsystems： Feature Recognition Subsystem, CAPP Subsystem and Automatical CAM SubsystemIn Feature Recognition Subsystem, machining features information of a part is obtained from a three dimensional

Keywords： CAD     CAPP     CAM     feature recognition    

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A network security entity recognition method based on feature template and CNN-BiLSTM-CRF Research Papers

Ya QIN, Guo-wei SHEN, Wen-bo ZHAO, Yan-ping CHEN, Miao YU, Xin JIN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 872-884 doi: 10.1631/FITEE.1800520

Abstract: It is difficult for traditional named entity recognition methods to identify mixed security entitiesIn this paper, we propose a novel FT-CNN-BiLSTM-CRF security entity recognition method based on a neuralnetwork CNN-BiLSTM-CRF model combined with a feature template (FT).The feature template is used to extract local context features, and a neural network model is used to

Keywords： Network security entity     Security knowledge graph (SKG)     Entity recognition     Feature template     Neural network    

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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: The proposed method suits for all the problems of algebraic feature extraction.

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

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: slope images, the networks are compared from three aspects: a) different neural networks, b) different featureThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition Article

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 738-750 doi: 10.1631/FITEE.1500380

Abstract: propose a method for histogram equalization using supplement sets to improve the performance of speaker recognitionThe proposed approach is used as a feature normalization method for building histograms when there areThe proposed method is compared with conventional feature normalization methods, such as cepstral meanWe also use the 2008 National Institute of Standards and Technology (NIST) speaker recognition evaluationaverage system performance is improved when the proposed method is used, compared to the conventional feature

Keywords： Speaker recognition     Histogram equalization     i-vector    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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Title Author Date Type Operation

A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Journal Article

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article

Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial

Ping-ping WU, Hong LIU, Xue-wu ZHANG, Yuan GAO

Journal Article

Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

Research and Development of CAD/CAPP/CAM Integrated System

Wei Erwei,Liang Muyang,Yang Ping

Journal Article

A network security entity recognition method based on feature template and CNN-BiLSTM-CRF

Ya QIN, Guo-wei SHEN, Wen-bo ZHAO, Yan-ping CHEN, Miao YU, Xin JIN

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

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article