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  1. No Access

    Chapter and Conference Paper

    An Effective Implementation of a Direct Spanning Tree Representation in GAs

    This paper presents an effective implementation based on predecessor vectors of a genetic algorithm using a direct tree representation. The main operations associated with crossovers and mutations can be achie...

    Yu Li in Applications of Evolutionary Computing (2001)

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    Chapter and Conference Paper

    Data Segmentation of Stereo Images with Complicated Background

    With the development of computer science, there is an increasing demand on the object recognition in stereo images. As a binocular image pair contains larger and more complicated information than a monocular i...

    Yi Wei, Shushu Hu, Yu Li in Image Analysis and Recognition (2007)

  3. Chapter and Conference Paper

    A Contrast Enhancement Framework with JPEG Artifacts Suppression

    Contrast enhancement is used for many algorithms in computer vision. It is applied either explicitly, such as histogram equalization and tone-curve manipulation, or implicitly via methods that deal with degrad...

    Yu Li, Fangfang Guo, Robby T. Tan, Michael S. Brown in Computer Vision – ECCV 2014 (2014)

  4. Chapter and Conference Paper

    Fast Guided Global Interpolation for Depth and Motion

    We study the problems of upsampling a low-resolution depth map and interpolating an initial set of sparse motion matches, with the guidance from a corresponding high-resolution color image. The common objectiv...

    Yu Li, Dongbo Min, Minh N. Do, Jiangbo Lu in Computer Vision – ECCV 2016 (2016)

  5. No Access

    Chapter and Conference Paper

    Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm

    The diesel engine fault data is nonlinear and it’s difficult to extract the characteristic information. Kernel Principal Component Analysis (KPCA) is used to extract features of nonlinear data, only considerin...

    Yu Li, Min Han, Bing Han, **nyi Le in Advances in Neural Networks – ISNN 2018 (2018)

  6. Chapter and Conference Paper

    A New Scheme for QoE Management of Live Video Streaming in Cloud Environment

    Live video streaming process consumes very large data storage and takes very long time, so it requires big data storage and computing infrastructures for implementation. Accordingly, the use of cloud computing...

    Dheyaa Jasim Kadhim, **nguo Yu, Saba Qasim Jabbar, Yu Li in Image and Video Technology (2018)

  7. Chapter and Conference Paper

    Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space

    Magnetic Resonance Imaging (MRI) typically collects data below the Nyquist sampling rate for imaging acceleration. To remove aliasing artifacts, we propose a multi-channel deep generative adversarial network (...

    Pengyue Zhang, Fusheng Wang, Wei Xu, Yu Li in Medical Image Computing and Computer Assis… (2018)

  8. No Access

    Chapter and Conference Paper

    L2R-QA: An Open-Domain Question Answering Framework

    Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...

    Tieke He, Yu Li, Zhipeng Zou, Qing Wu in Intelligence Science and Big Data Engineer… (2019)

  9. No Access

    Chapter and Conference Paper

    An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification

    In classification tasks, deep learning methods yield high performance. However, owing to lack of enough annotated data, deep learning methods often underperformed. Therefore, we propose an advance version of l...

    Yu Li, Zhonggeng Liu, Huadong Pan, Jun Yin in Intelligence Science and Big Data Engineer… (2019)

  10. No Access

    Chapter and Conference Paper

    Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach

    Biomarkers are not well understood in depression, partly because there is no golden rule of what is abnormal in which patients and how neurobiological information can be used to improve diagnosis. The heteroge...

    **ngjuan Li, Samantha Burnham, Jurgen Fripp, Yu Li in Graph Learning in Medical Imaging (2019)

  11. No Access

    Chapter and Conference Paper

    Data Augmentation for Deep Learning of Judgment Documents

    With the increasing number of machine learning parameters, the requirements on data quantity are getting higher and higher to train a good model. The choice of methods and the optimization of parameters can im...

    Ge Yan, Yu Li, Shu Zhang, Zhenyu Chen in Intelligence Science and Big Data Engineer… (2019)

  12. No Access

    Chapter and Conference Paper

    Using Case Facts to Predict Penalty with Deep Learning

    With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...

    Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang in Data Science (2019)

  13. No Access

    Chapter and Conference Paper

    Adaptive Flower Pollination Algorithm Based on Chaotic Map

    Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...

    Yu Li, Juan Zheng, Yi-ran Zhao in Data Science (2019)

  14. No Access

    Chapter and Conference Paper

    Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction

    During infancy, the human brain develops rapidly in terms of structure, function and cognition. The tight connection between cognitive skills and brain morphology motivates us to focus on individual level cogn...

    Yu Li, Jiale Cheng, **n Zhang, Ruiyan Fang in Machine Learning in Medical Imaging (2021)

  15. No Access

    Chapter and Conference Paper

    Research on Chinese Word Segmentation Based on Conditional Random Fields

    Word segmentation is the first step in Chinese natural language processing. The accuracy of segmentation has substantial impacts on subsequent tasks such as part-of-speech tagging, semantic analysis, etc. This...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

  16. No Access

    Chapter and Conference Paper

    Chinese Word Sense Disambiguation Based on Classification

    Word sense disambiguation (WSD) is a well-known task in the field of natural language processing. It attempts to determine a meaning of a word that has a couple of senses. This paper studies the Chinese word s...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

  17. No Access

    Chapter and Conference Paper

    Research on the Authorship of Dream of the Red Chamber Based on Link Prediction

    Dream of the Red Chamber (DRC), written in Qing dynasty, is a prestigious classical novel in Chinese literature. There exists a disputation over the authorship of DRC for the last 40 chapters. This research ma...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

  18. No Access

    Article

    Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset

    Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark. Simply adjusting th...

    Feifan Lv, Yu Li, Feng Lu in International Journal of Computer Vision (2021)

  19. No Access

    Chapter and Conference Paper

    A Novel Dual-Modal Biometric Recognition Method Based on Weighted Joint Group Sparse Representation Classification

    Multi-modal biometric recognition technology is an effective method to improve the accuracy and reliability of identity recognition. However, there are some problems (such as feature space incompatibility) wit...

    Chunxin Fang, Hui Ma, Yu Li in Biometric Recognition (2022)

  20. No Access

    Chapter and Conference Paper

    A Finger Bimodal Fusion Algorithm Based on Improved Densenet

    Compared with single-mode biometric recognition, multimodal biometric recognition has been widely used because of its high security and high accuracy. Among them, finger based multimodal biometric recognition ...

    Wenhao Lv, Hui Ma, Yu Li in Biometric Recognition (2022)

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