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    Chapter and Conference Paper

    A Semi-blind Complex ICA Algorithm for Extracting a Desired Signal Based on Kurtosis Maximization

    Semi-blind independent component analysis (ICA) incorporates some prior information into standard blind ICA, and thus solves some problems of blind ICA as well as provides improved performance. However, semi-b...

    Jun-Yu Chen, Qiu-Hua Lin in Advances in Neural Networks - ISNN 2008 (2008)

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    Chapter and Conference Paper

    A Novel F-Pad for Handwriting Force Information Acquisition

    This paper presents a novel pad for handwriting force information acquisition. The pad named F-Pad (force-pad) is capable of capturing both the dynamic handwriting information and the static trajectory of the ...

    Jian-Fei Luo, Bao-Yuan Wu, Qiu-Shi Lin in Intelligent Computing Theories and Applica… (2012)

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    Chapter and Conference Paper

    Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning

    It is always said that learning is at the core of intelligence. How does learning work in swarm intelligence algorithms (SIAs)? This paper tries to answer this question by analyzing the learning mechanisms in ...

    Guo-Sheng Hao, Ze-Hui Yi, Lin Wan, Qiu-Yi Shi in Intelligent Computing Methodologies (2018)

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    Chapter and Conference Paper

    Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis

    Emotion is a subjective, conscious experience when people face different kinds of stimuli. In this paper, we adopt Deep Canonical Correlation Analysis (DCCA) for high-level coordinated representation to make f...

    Jie-Lin Qiu, Wei Liu, Bao-Liang Lu in Neural Information Processing (2018)

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    Chapter and Conference Paper

    Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks

    Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, ha...

    Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao in Advances in Neural Networks – ISNN 2019 (2019)

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    Chapter and Conference Paper

    A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images

    Detecting building changes via aerial images acquired at different times is important in the urban planning and geographic information updating. Deep learning solutions have high potential in improving detecti...

    Bin Sun, Guo-Zhong Li, Min Han, Qiu-Hua Lin in Advances in Neural Networks – ISNN 2019 (2019)

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    Chapter and Conference Paper

    Canonical Polyadic Decomposition with Constant Modulus Constraint: Application to Polarization Sensitive Array Processing

    We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on a polarization sensitive array. We propose an algebraic algorithm for canonical polyadi...

    **-Wei Yang, **ao-Feng Gong, Lu-Ming Wang in Advances in Neural Networks – ISNN 2019 (2019)

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    Chapter and Conference Paper

    Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator

    Online handwritten Chinese character generation is an interesting task which has gained more and more attention in recent years. Most of the previous methods are based on autoregressive models, where the traje...

    Min-Si Ren, Yan-Ming Zhang, Qiu-Feng Wang, Fei Yin in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia

    Group temporal and spatial features of multi-subject fMRI data are essential for studying mental disorders, especially those exhibiting dynamic properties of brain function. Taking advantages of a low-rank Tuc...

    Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Ying-Guang Hao in Neural Information Processing (2024)