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  1. No Access

    Chapter and Conference Paper

    Semi-calibrated Near-Light Photometric Stereo

    We tackle the nonlinear problem of photometric stereo under close-range pointwise sources, when the intensities of the sources are unknown (so-called semi-calibrated setup). A variational approach aiming at ro...

    Yvain Quéau, Tao Wu, Daniel Cremers in Scale Space and Variational Methods in Com… (2017)

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    Chapter and Conference Paper

    A Data Stream Clustering Algorithm Based on Density and Extended Grid

    Based on the traditional grid density clustering algorithm, proposing A Data Stream Clustering Algorithm Based on Density and Extended Grid(DEGDS). The algorithm combines the advantages of grid clustering algo...

    Zheng Hua, Tao Du, Shouning Qu, Guodong Mou in Intelligent Computing Theories and Applica… (2017)

  3. No Access

    Chapter and Conference Paper

    The Study on Grade Categorization Model of Question Based on on-Line Test Data

    To tackle with the blindness of random questions choosing for exercise and test of the on-line learning system, this paper clusters questions exploiting various feature subsets and parameters via K-means. For...

    YuLing Fan, Tao Xu, Likai Dong, Dong Wang in Intelligent Computing Theories and Application (2017)

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    Chapter and Conference Paper

    Identity Authentication Technology of Mobile Terminal Based on Cloud Face Recognition

    The face recognition of mobile terminal plays an important role in the identity authentication technology. But there are some problems such as long detection time and low recognition rate due to the performanc...

    Likai Dong, Zhikang Ma, Tao Xu, Dong Wang in Intelligent Computing Theories and Application (2017)

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    Chapter and Conference Paper

    Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global Optimization

    The optimization of a large number of decision variables, so called large scale global optimization (LSGO) remains challenging for existing heuristics. Inspired by the concept of global best (gbest) guided str...

    Zhang Fuxing, Zhang Tao, Wang Rui in Intelligent Computing Theories and Application (2017)

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    Chapter and Conference Paper

    Color Two-Dimensional Principal Component Analysis for Face Recognition Based on Quaternion Model

    The color two-dimensional principal component analysis (color 2DPCA) approach based on quaternion model is presented for color face recognition. Based on 2D quaternion matrices rather than 1D quaternion vector...

    Zhi-Gang Jia, Si-Tao Ling, Mei-**ang Zhao in Intelligent Computing Theories and Application (2017)

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    Chapter and Conference Paper

    2D Human Parsing with Deep Skin Model and Part-Based Model Inference

    Human parsing plays an important role in action understanding, clothing recommendation and human-computer interaction, etc. However, variations of human pose, clothes, viewpoint and cluttered background make t...

    Tao Xu, Zhiquan Feng, Likai Dong in Intelligent Computing Theories and Applica… (2017)

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    Chapter and Conference Paper

    A Hashing Image Retrieval Method Based on Deep Learning and Local Feature Fusion

    The multimedia information such as images and videos has been growing rapidly, how to efficiently retrieve large-scale image dataset to meet user needs is an urgent problem. The traditional method has the prob...

    Yi-Liang Nie, Ji-**ang Du, Wen-Tao Fan in Intelligent Computing Theories and Application (2017)

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    Chapter and Conference Paper

    Fully Combined Convolutional Network with Soft Cost Function for Traffic Scene Parsing

    Autonomous car has achieved unprecedented improvement in object detection because of the high performance of deep convolutional neural networks, and now researches are devoted to more complex traffic scene par...

    Yan Wu, Tao Yang, Junqiao Zhao, Linting Guan in Intelligent Computing Theories and Applica… (2017)

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    Chapter and Conference Paper

    Scale Effects in Web Search

    It is a well-known statistical property that learning tends to slow down with each additional data point. Thus even if scale effects are important in web search, they could be important in a range that any via...

    Di He, Aadharsh Kannan, Tie-Yan Liu, R. Preston McAfee in Web and Internet Economics (2017)

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    Chapter and Conference Paper

    Beyond Worst-Case (In)approximability of Nonsubmodular Influence Maximization

    We consider the problem of maximizing the spread of influence in a social network by choosing a fixed number of initial seeds, formally referred to as the influence maximization problem. It admits a ...

    Grant Schoenebeck, Biaoshuai Tao in Web and Internet Economics (2017)

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    Chapter and Conference Paper

    Effects of Simulated Annealing Strategy on Swarm Intelligence Algorithm

    Swarm intelligence algorithm (SI) is a kind of stochastic search algorithm based on swarm. Similar to other evolutionary algorithm, when solving the complicated multimodal problem using SI, it is easy to have ...

    Yanmin Liu, Chengqi Li, Qingyu Zeng in Intelligent Computing Theories and Applica… (2016)

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    Chapter and Conference Paper

    An Efficient Conjunctive Keyword Searchable Encryption Scheme for Mobile Cloud Computing

    The integration of the cloud and mobile device enables users more convenient to access, retrieve the file, but due to the limitations of resources of mobile devices, how to shorten the search time and get more...

    Tao Lin, Zexian Sun, Hexu Sun, Bin Cao in Intelligent Computing Theories and Application (2016)

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    Chapter and Conference Paper

    Identifying Relevant Subgraphs in Large Networks

    Structural relationships between objects are used to model as graphs in many applications. In this paper, we study the problem of identifying relevant subgraphs in large networks. Relevant subgraphs in large n...

    Zheng Liu, Shuting Guo, Tao Li, Wenyan Chen in Web Technologies and Applications (2016)

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    Chapter and Conference Paper

    Variance Based Determination of Three-Way Decisions Using Probabilistic Rough Sets

    The probabilistic rough sets is an important generalization of rough sets where a pair of thresholds is used to form new rough regions. The pair of thresholds controls different quality related criteria such a...

    Nouman Azam, **g Tao Yao in Rough Sets (2016)

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    Chapter and Conference Paper

    Two-Stage Flow-Open Shop Scheduling Problem to Minimize Makespan

    This paper investigates a novel shop scheduling model, in which each job is processed first in a flow shop and then in an open shop. The objective is to optimize the maximum completion time, i.e. makespan. For...

    Tao Ren, Bingqian Liu, Peng Zhao in Intelligent Computing Theories and Applica… (2016)

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    Chapter and Conference Paper

    Acquisition and Representation of Knowledge for Academic Field

    With the rapid development of Internet, a large number of academic resources are available for researchers. How to organize these resources and represent them well is a big challenge. This paper proposes a nov...

    Jie Yu, Haiqiao Wu, Chao Tao, Lingyu Xu in Web Technologies and Applications (2016)

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    Chapter and Conference Paper

    Yet Another Schatten Norm for Tensor Recovery

    In this paper, we introduce a new class of Schatten norms for tensor recovery. In the new norm, unfoldings of a tensor along not only every single order but also all combinations of orders are taken into accou...

    Chao Li, Lili Guo, Yu Tao, **yu Wang, Lin Qi, Zheng Dou in Neural Information Processing (2016)

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    Chapter and Conference Paper

    A Swarm Intelligence Algorithm Inspired by Twitter

    For many years, evolutionary computation researchers have been trying to extract the swarm intelligence from biological systems in nature. Series of algorithms proposed by imitating animals’ behaviours have es...

    Zhihui Lv, Furao Shen, **xi Zhao, Tao Zhu in Neural Information Processing (2016)

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    Chapter and Conference Paper

    Location Selection of Multiple Logistics Distribution Center Based on Particle Swarm Optimization

    Distribution center is an important pivot position at the logistics system. This paper presents the site selection’s model of logistics distribution center based on decision matrix C, which adopts particle swarm ...

    Qingyu Zeng, Chengqi Li, **angbiao Wu in Intelligent Computing Theories and Applica… (2016)

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