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15 Result(s)

within Computer Science Remove this filter Algorithm Analysis and Problem Complexity Remove this filter Qiu-**ong Lin Remove this filter Chapter Remove this filter Conference Paper Remove this filter

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  1. No Access

    Chapter and Conference Paper

    Speech Segregation Using Constrained ICA

    In natural environment, speech often occurs concurrently with acoustic interference. How to effectively extract speech remains a great challenge. This paper describes a novel constrained Independent Component ...

    Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin… in Advances in Neural Networks – ISNN 2004 (2004)

  2. No Access

    Chapter and Conference Paper

    A Fast Decryption Algorithm for BSS-Based Image Encryption

    The image encryption based on blind source separation (BSS) takes advantage of the underdetermined BSS problem to encrypt multiple confidential images. Its security can be further improved if the number of ima...

    Qiu-Hua Lin, Fu-Liang Yin, Hua-Lou Liang in Advances in Neural Networks - ISNN 2006 (2006)

  3. No Access

    Chapter and Conference Paper

    Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization

    Complex independent component analysis (ICA) has found utility in separation of complex-valued signals such as communications, functional magnetic resonance imaging, and frequency-domain speeches. However, per...

    Qiu-Hua Lin, Li-Dan Wang, Jian-Gang Lin… in Latent Variable Analysis and Signal Separa… (2010)

  4. No Access

    Chapter and Conference Paper

    Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor

    This paper considers separation of convolutive speech mixtures in frequency-domain within a tensorial framework. By assuming that components associated with neighboring frequency bins of the same source are st...

    **ao-Feng Gong, Qiu-Hua Lin in Latent Variable Analysis and Signal Separation (2010)

  5. No Access

    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)

  6. No Access

    Chapter and Conference Paper

    Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions

    In this paper, we propose a class of complex non-orthogonal joint diagonalization (NOJD) algorithms with successive rotations. The proposed methods consider LU or LQ decompositions of the mixing matrices, and ...

    Ke Wang, **ao-Feng Gong, Qiu-Hua Lin in Latent Variable Analysis and Signal Separation (2012)

  7. No Access

    Chapter and Conference Paper

    Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study

    This paper proposed a radiomics model from magnetic resonance imaging (MRI) for Glioblastoma Multiforme (GBM) patients. One challenge of radiomics study is to reduce the redundancy of the features. Totally 466...

    Zhi-Cheng Li, Qi-Hua Li, Bo-Lin Song… in Medical Imaging and Augmented Reality (2016)

  8. No Access

    Chapter and Conference Paper

    Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data

    Functional network connectivity (FNC) and Granger causality have been widely used to identify functional and effective connectivity for resting functional magnetic resonance imaging (fMRI) data. However, the r...

    Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang… in Advances in Neural Networks - ISNN 2017 (2017)

  9. No Access

    Chapter and Conference Paper

    Rapid Triangle Matching Based on Binary Descriptors

    Geometric constraints have been widely applied to image matching to gain additional advantages over feature points. A rapid triangle matching (RTM) algorithm was such an algorithm for matching triangles formed...

    Min Tian, Qiu-Hua Lin in Advances in Neural Networks - ISNN 2017 (2017)

  10. No Access

    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)

  11. No Access

    Chapter and Conference Paper

    Fusion of Laser Point Clouds and Color Images with Post-calibration

    Fusion of laser point clouds and color images has a great advantage in the photogrammetry, computer vision, and computer graphics communities. Most of existing methods estimate the projection matrix for mappin...

    **ao-Chuan Zhang, Qiu-Hua Lin, Ying-Guang Hao in Advances in Neural Networks – ISNN 2018 (2018)

  12. No Access

    Chapter and Conference Paper

    Image Edge Detection for Stitching Aerial Images with Geometrical Rectification

    Changes of the flight attitude of unmanned aircraft cause nonlinear distortion in the aerial images. Stitching these images without geometric rectification may cause the problem of mismatching. However, the ge...

    Zhi-Xuan Liu, Qiu-Hua Lin, Ying-Guang Hao in Advances in Neural Networks – ISNN 2018 (2018)

  13. No Access

    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)

  14. No Access

    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)

  15. No Access

    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)