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10 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Vision-Based Registration Using 3-D Fiducial for Augmented Reality

    One of the key issues in the realization of Augmented Reality is the registration problem. Synthetically, vision-based registration can offer superior solutions. In several existing registration methods, 2-D o...

    Ya Zhou, Yongtian Wang, Dayuan Yan… in Advances in Multimodal Interfaces — ICMI 2000 (2000)

  2. No Access

    Chapter and Conference Paper

    An Improved Colored-Marker Based Registration Method for AR Applications

    Registration is crucial in an Augmented Reality (AR) system for it determines the performance of alignment between virtual objects and real scene. Colored-makers with known world coordinates are usually put in...

    **aowei Li, Yue Liu, Yongtian Wang… in Computational Science and Its Applications… (2005)

  3. No Access

    Chapter and Conference Paper

    A Convenient and Fast Method of Endoscope Calibration under Surgical Environment

    How to get the calibration parameters of an endoscopic camera online is one of the most important steps in the three-dimensional reconstruction and draws great attention from researchers. One of general approa...

    Meiqing Liu, Dayuan Yan, **aoming Hu, Ya Zhou… in Computer Analysis of Images and Patterns (2013)

  4. No Access

    Chapter and Conference Paper

    3D Localization Algorithm for Wireless Sensor Networks Based on DCP and VRT

    Localization is an important part of Wireless Sensor Networks technology, and the 3D location technology is more appropriate for real applications. We propose a novel 3D localization algorithm based on DCP (De...

    Guozhi Song, Dayuan Tam, Dongyang Liao, Qianshen Lee… in Embedded System Technology (2015)

  5. No Access

    Chapter and Conference Paper

    A Modified Genetic Algorithm for Agricultural By-products Logistics Delivery Route Planning Problem

    Agricultural by-products collection and delivery route planning is one of the important issues of delivery scheduling optimization for agricultural regional logistics. Aimed at agricultural by-products logist...

    Guofu Luo, Dayuan Wu, Jun Ma, **aoyu Wen in Internet and Distributed Computing Systems (2016)

  6. No Access

    Chapter and Conference Paper

    Smooth Multi-instance Learning for Object Detection

    The problem of object localization is one of the key problems in computer vision applications. Recently, multiple-instance learning (MIL) is a kind of machine learning framework which receiving a set of insta...

    Dayuan Li, Zhipeng Li, Youhua Zhang in Intelligent Computing Theories and Application (2017)

  7. No Access

    Chapter and Conference Paper

    TNT: An Effective Method for Finding Correlations Between Two Continuous Variables

    Determining whether two continuous variables are relevant, either linearly or non-linearly correlated, is a fundamental problem in data science. To test whether two continuous variables have a linear correlati...

    Dayuan Zheng, Zhaogong Zhang, Yuting Zhang in Combinatorial Optimization and Applications (2019)

  8. No Access

    Chapter and Conference Paper

    Feature Selection Based on Graph Structure

    Feature selection is an important part of data preprocessing. Selecting effective feature subsets can effectively reduce feature redundancy and reduce irrelevant features, and reduce training costs. Based on t...

    Zhiwei Hu, Zhaogong Zhang, Zongchao Huang… in Combinatorial Optimization and Applications (2019)

  9. No Access

    Chapter and Conference Paper

    A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction

    Unsupervised text representations significantly narrow the gap with supervised pretraining, and relation clustering has gradually become an important method of open relational extraction (OpenRE). However, dif...

    **aoge Li, Dayuan Guo, Tiantian Wang in Advances in Knowledge Discovery and Data Mining (2023)

  10. No Access

    Article

    Semi-supervised partial label learning algorithm via reliable label propagation

    Partial label learning (PLL) is a weakly supervised learning method that is able to predict one label as the correct answer from a given candidate label set. In PLL, when all possible candidate labels are as s...

    Ying Ma, Dayuan Chen, Tian Wang, Guoqi Li, Ming Yan in Applied Intelligence (2023)