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  1. No Access

    Chapter and Conference Paper

    Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification

    Guangjun Lv, Qian Yin, Bingxin Xu, ** Guo in Advances in Neural Networks - ISNN 2010 (2010)

  2. No Access

    Chapter and Conference Paper

    A Generalized Subspace Projection Approach for Sparse Representation Classification

    In this paper, we propose a subspace projection approach for sparse representation classification (SRC), which is based on Principal Component Analysis (PCA) and Maximal Linearly Independent Set (MLIS). In the...

    Bingxin Xu, ** Guo in Neural Information Processing (2011)

  3. No Access

    Chapter and Conference Paper

    Local-Global Joint Decision Based Clustering for Airport Recognition

    Airport recognition plays an important role in many computer vision tasks. This paper proposes a novel method for airport recognition including the generation of clustering threshold adaptively and automatical...

    Bingxin Qu, Yanning Zhang, Tao Yang in Intelligence Science and Big Data Engineering (2013)

  4. No Access

    Article

    Combining affinity propagation with supervised dictionary learning for image classification

    Recently support vector machines (SVM) using spatial pyramid matching (SPM) kernel have been highly successful in image classification applications. And linear spatial pyramid matching using sparse coding (ScS...

    Bingxin Xu, Rukun Hu, ** Guo in Neural Computing and Applications (2013)

  5. No Access

    Chapter and Conference Paper

    Hybrid Order l 0-Regularized Blur Kernel Estimation Model for Image Blind Deblurring

    Most of blur kernel estimation models may fail when the blurred image contains some complex structures or is contaminated by large blur. In this paper, we propose a hybrid order l 0-regularized blur kerne...

    Weihong Li, Yangqing Chen, Rui Chen, Weiguo Gong in Advances in Neural Networks - ISNN 2017 (2017)

  6. No Access

    Chapter and Conference Paper

    Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction

    The rapid growth of deep learning research has introduced numerous methods to solve real-world applications. In the financial market, the stock price prediction is one of the most challenging topics. This pape...

    Ying Xu, Lymeng Chhim, Bingxin Zheng in Neural Computing for Advanced Applications (2020)

  7. Chapter and Conference Paper

    How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment

    Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users t...

    Duo Wang, **wei Wang, Qingxiao Zheng in Virtual, Augmented and Mixed Reality. Desi… (2020)

  8. No Access

    Article

    Observer-based interval type-2 fuzzy friction modeling and compensation control for steer-by-wire system

    This paper studies the tracking control of the SbW system with unknown nonlinear friction torque and the unmeasured angular velocity. An observer-based adaptive interval type-2 fuzzy logic system controller is...

    Gang Luo, Zezheng Wang, Bingxin Ma, Yongfu Wang in Neural Computing and Applications (2021)

  9. No Access

    Chapter and Conference Paper

    Swi** Angles Differentially Influence Young and Old Users’ Performance and Experience on Swi** Gestures

    The efficiency and convenience of gesture shortcuts have an important influence on user experience. However, it is unknown how the number of permitted swi** angles and their allowable range affect users’ per...

    Jiali Jiang, Zheng Wei, Tong Yang in Engineering Psychology and Cognitive Ergon… (2022)

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    Article

    Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets

    In practice, people may hesitate to evaluate uncertain things. As an extension of fuzzy sets, intuitionistic hesitant fuzzy sets use multiple membership and non-membership degrees to express uncertain evaluati...

    Zhanao Xue, Bingxin Sun, Haodong Hou, Wenli Pang, Yanna Zhang in Cognitive Computation (2022)

  11. No Access

    Chapter and Conference Paper

    Extraction and Application of Verb Event Structure Based on Grammatical Knowledge-Base of Contemporary Chinese(GKB)

    Although the semantic features of words are hidden deep-seated features, they can generally be shown through the grammatical combination of words. This paper mainly relies on the descriptions of some grammatic...

    Mengxiang Wang, Bingxin Li in Chinese Lexical Semantics (2023)

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    Chapter and Conference Paper

    An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection

    Owing to the national network “clearing up” action, it has become increasingly important to detect false information by the use of deep learning technology. As social networks gradually presents a multimodal p...

    Ying Guo, Bingxin Li, Hong Ge, Chong Di in Artificial Neural Networks and Machine Lea… (2023)

  13. No Access

    Article

    Cheerleading athlete's action safety in sports competition based on Kohonen neural network

    Skill cheerleading is a sport with high difficulty, high skill and relatively high injury probability. This study mainly discusses the judgment of Cheerleading athletes' action safety in sports competition bas...

    Bingxin Chen, Lifei Kuang, Wei He in Neural Computing and Applications (2023)

  14. No Access

    Chapter and Conference Paper

    DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model

    Question Answering (QA) is crucial for humans to access vast knowledge bases, but there is a lack of attention towards representing raw, unstructured questions and answers in specific fields. Additionally, the...

    Dengrong Huang, Zizhong Wei, Aizhen Yue, Xuan Zhao, Zhaoliang Chen in AI-generated Content (2024)

  15. No Access

    Article

    Class feature Sub-space for few-shot classification

    Few-shot learning is used in the development of models that can acquire novel class concepts from limited training samples, facilitating rapid adaptation to novel, intricate, and varied tasks encountered in re...

    Bin Song, Hong Zhu, Bingxin Wang, Yuandong Bi in Applied Intelligence (2024)