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  1. No Access

    Article

    Deep Weighted Extreme Learning Machine

    The imbalanced data classification attracts increasing attention in the past years due to the continuous expansion of data available in many areas, such as biomedical engineering, surveillance, and computer vi...

    Tianlei Wang, Jiuwen Cao, ** Lai, Badong Chen in Cognitive Computation (2018)

  2. No Access

    Article

    A Sequential Partial Optimization Algorithm with Guaranteed Convergence for Minimax Design of IIR Digital Filters

    Challenges for optimal design of infinite impulse response digital filters include the high nonconvexity of design problem and inevitable stability constraints on the filters. To reduce the nonconvexity and ta...

    Hailong Meng, ** Lai, Jiuwen Cao… in Circuits, Systems, and Signal Processing (2018)

  3. No Access

    Book and Conference Proceedings

    Proceedings of ELM-2016

    Jiuwen Cao, Erik Cambria, Amaury Lendasse… in Proceedings in Adaptation, Learning and Optimization (2018)

  4. No Access

    Chapter and Conference Paper

    Facial Landmark Detection via ELM Feature Selection and Improved SDM

    Model initialization and feature extraction are crucial in supervised landmark detection. Mismatching caused by detector error and discrepant initialization is very common in these existing methods. To solve t...

    Peng Bian, Yi **, Jiuwen Cao in Proceedings of ELM-2016 (2018)

  5. No Access

    Article

    Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

    Accurate prediction of adverse cardiac events for the emergency department (ED) chest pain patients is essential in risk stratification due to the current ambiguity in diagnosing acute coronary syndrome. While...

    Nan Liu, Jeffrey Tadashi Sakamoto, Jiuwen Cao, … in Cognitive Computation (2017)

  6. No Access

    Article

    DOA Estimation of Excavation Devices with ELM and MUSIC-Based Hybrid Algorithm

    Underground pipelines suffered severe external breakage caused by excavation devices due to arbitral road excavation. Acoustic signal-based recognition has recently shown effectiveness in underground pipeline ...

    Jianzhong Wang, Kai Ye, Jiuwen Cao, Tianlei Wang, Anke Xue… in Cognitive Computation (2017)

  7. Article

    Machine learning in nD signal processing

    Jiuwen Cao, Chuan-Yu Chang in Multidimensional Systems and Signal Processing (2017)

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  8. No Access

    Article

    An enhance excavation equipments classification algorithm based on acoustic spectrum dynamic feature

    Underground pipeline network surveillance system attracts increasingly attentions recently due to severe breakages caused by external excavation equipments in the mainland of China. In this paper, we study exc...

    Jiuwen Cao, Wuhao Huang, Tuo Zhao… in Multidimensional Systems and Signal Proces… (2017)

  9. No Access

    Article

    Ensemble based extreme learning machine for cross-modality face matching

    Extreme learning machine (ELM) is one of the most important and efficient machine learning algorithms for pattern classification due to its fast learning speed. In this paper, we propose a new ensemble based E...

    Yi **, Jiuwen Cao, Yizhi Wang, Ruicong Zhi in Multimedia Tools and Applications (2016)

  10. No Access

    Article

    Landmark recognition with compact BoW histogram and ensemble ELM

    Along with the rapid development of mobile terminal devices, landmark recognition applications based on mobile devices have been widely researched in recent years. Due to the fast response time requirement of ...

    Jiuwen Cao, Tao Chen, Jiayuan Fan in Multimedia Tools and Applications (2016)

  11. No Access

    Book and Conference Proceedings

    Proceedings of ELM-2015 Volume 1

    Theory, Algorithms and Applications (I)

    Jiuwen Cao, Kezhi Mao, Jonathan Wu… in Proceedings in Adaptation, Learning and Optimization (2016)

  12. No Access

    Book and Conference Proceedings

    Proceedings of ELM-2015 Volume 2

    Theory, Algorithms and Applications (II)

    Jiuwen Cao, Kezhi Mao, Jonathan Wu… in Proceedings in Adaptation, Learning and Optimization (2016)

  13. No Access

    Chapter and Conference Paper

    MIMO Modeling Based on Extreme Learning Machine

    With multiple antennas’ transmission, multiple-input multiple-output (MIMO) technique is able to utilize the space diversity to obtain high spectrum efficiency. In this study, we propose a single hidden layer ...

    Junbiao Liu, Fang Dong, Jiuwen Cao, **nyu ** in Proceedings of ELM-2015 Volume 1 (2016)

  14. No Access

    Book and Conference Proceedings

    Proceedings of ELM-2014 Volume 1

    Algorithms and Theories

    Jiuwen Cao, Kezhi Mao, Erik Cambria… in Proceedings in Adaptation, Learning and Optimization (2015)

  15. No Access

    Book and Conference Proceedings

    Proceedings of ELM-2014 Volume 2

    Applications

    Jiuwen Cao, Kezhi Mao, Erik Cambria… in Proceedings in Adaptation, Learning and Optimization (2015)

  16. No Access

    Article

    Self-Adaptive Evolutionary Extreme Learning Machine

    In this paper, we propose an improved learning algorithm named self-adaptive evolutionary extreme learning machine (SaE-ELM) for single hidden layer feedforward networks (SLFNs). In SaE-ELM, the network hidden...

    Jiuwen Cao, Zhi** Lin, Guang-Bin Huang in Neural Processing Letters (2012)

  17. No Access

    Article

    Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine

    In this paper, we introduce a new learning method for composite function wavelet neural networks (CFWNN) by combining the differential evolution (DE) algorithm with extreme learning machine (ELM), in short, as...

    Jiuwen Cao, Zhi** Lin, Guang-Bin Huang in Neural Processing Letters (2011)

  18. No Access

    Article

    Robust stability for uncertain neutral systems with mixed time-varying delays

    The robust stability of uncertain neutral systems with mixed time-varying delays is investigated in this paper. The uncertainties under consideration are norm-bounded and time-varying. Based on the Lyapunov st...

    **zhong Cui, Jiuwen Cao, Shouming Zhong… in Journal of Control Theory and Applications (2009)

  19. No Access

    Article

    A descriptor system approach to robust stability of uncertain degenerate systems with discrete and distribute delays

    The robust stability of uncertain linear degenerate systems with discrete and distributed delays is studied in this paper. The uncertainties under consideration are norm bounded, and possibly time varying. A n...

    Jiuwen Cao, Shouming Zhong, Yuanyuan Hu in Journal of Control Theory and Applications (2007)

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