Independent Component Analysis Based on Information Bottleneck by Qiao Ke, Jiangshe Zhang, H. M. Srivastava, Wei Wei, Guang-Sheng Chen

“…The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). …”
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Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers by R. Gallardo-Caballero, C. J. García-Orellana, A. García-Manso, H. M. González-Velasco, M. Macías-Macías

“…This proposal is mainly based on the use of extracted image features obtained by independent component analysis, but we also study the inclusion of the patient’s age as a nonimage feature which requires no human expertise. …”
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Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis by Wei Cheng, Zhousuo Zhang, Jie Zhang, Jiantao Lu

“…Therefore, this paper studies the acoustical source tracing problem using independent component analysis (ICA) and identifies the sources using correlation analysis: the measured acoustical signals are separated into independent components by independent component analysis method, and thus all the independent information of all the sources is obtained; these independent components are identified based on the prior information of the sources and correlation analysis. …”
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Research on database watermarking based on Independent Component Analysis and multiple rolling by Zaihui Cao, Ge Shi, Qingtao Wu

“…The matrix is separated by the ratio Independent Component Analysis algorithm, and the watermark is used to separate the matrix. …”
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Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking by Peter Jančovič, Xin Zou, Münevver Köküer

“…The algorithm performs the estimation in an iterative manner, each iteration consists of two-steps: first estimation of the DOA of a dominant source via the Independent Component Analysis and then removal of the detected source from the mixture via time-frequency masking. …”
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Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics by Yanfei Jia, Xiaodong Yang

“…This paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. …”
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A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier by Ikhlas Abdel-Qader, Fadi Abu-Amara

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A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression by Chi-Jie Lu, Chi-Chang Chang

“…This study proposes a hybrid sales forecasting scheme by combining independent component analysis (ICA) with K-means clustering and support vector regression (SVR). …”
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Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation by Xieqi Chen, Jianhui Lin, Hang Jin, Andy Tan, Lei Yan

“…In order to increase the accuracy of decomposition for diesel engines and find out the sources of acoustics, a method combining VMD, fast independent component analysis, and Hilbert transformation (VMD-FastICA-HT) is proposed for the separation and identification of different sources for diesel engines. …”
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iDICss robustly predicts melanoma immunotherapy response by synergizing genomic and transcriptomic knowledge via independent component analysis by Jiayue Qiu, Nana Jin, Lixin Cheng, Chen Huang

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Identifying preseizure state in intracranial EEG data using diffusion kernels by Dominique Duncan, Ronen Talmon, Hitten P. Zaveri, Ronald R. Coifman

Subjects: “…nonlinear independent component analysis…”
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Alterations of triple network dynamic connectivity and repetitive behaviors after mini-basketball training program in children with autism spectrum disorder by Weike Zhang, Kelong Cai, Xuan Xiong, Lina Zhu, Zhiyuan Sun, Sixin Yang, Wei Cheng, Haiyong Mao, Aiguo Chen

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Revealing systematic changes in the transcriptome during the transition from exponential growth to stationary phase by Hyun Gyu Lim, Ye Gao, Kevin Rychel, Cameron Lamoureux, Xuwen A. Lou, Bernhard O. Palsson

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The classification of concentration of mixture of analytes by Romas Baronas, Feliksas Ivanauskas, Romualdas Maslovskis, Pranas Vaitkus

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Resting-state functional connectivity between the frontoparietal network and the default mode network is aberrantly increased in ankylosing spondylitis by Dong Liu, Churong Lin, Budian Liu, Yanli Zhang, Yutong Jiang, Jieruo Gu, Ou Jin

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Differences in medial temporal network intrinsic connectivity after a single bout of exercise relate to fitness, memory, and affect by Anastasia Cherednichenko, María Baena-Pérez, Anna Miró-Padilla, Maria Reyes Beltrán-Valls, Diego Moliner-Urdiales, César Ávila

Subjects: “…Independent Component Analysis…”
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Noncontact Multiperson Respiratory Detection Method Based on Blind Source Separation by Xuan YANG, Ziying WANG, Li ZHANG, Heng ZHAO, Hong HONG

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New Insights Into the Reservoir Landslide Deformation Mechanism From InSAR and Numerical Simulation Technology by Guoshi Liu, Bin Wang, Qian Sun, Jun Hu, Lei-Lei Liu, Wanji Zheng, Liye Zou

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Reduction of Multidimensional Image Characteristics Based on Improved KICA by Jia Dongyao, Ai Yanke, Zou Shengxiong

“…Dimensionality reduction and optimization of characteristic parameter model based on improved kernel independent component analysis are proposed in this paper; the independent primitives are obtained by KICA (kernel independent component analysis) algorithm to construct an independent group subspace, while using 2DPCA (2D principal component analysis) algorithm to complete the second order related to data and further reduce the dimension in the above method. …”
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Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics by Chenxing Xu, Jiarula Yasenjiang, Pengfei Cui, Shengpeng Zhang, Xin Zhang

“…To address this problem, a hybrid fault detection model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) is proposed, taking into account the advantages of principal component analysis (PCA), kernel principal component analysis (KPCA), independent component analysis (ICA), and kernel independent component analysis (KICA) in terms of dimensionality reduction and feature extraction. …”
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