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  1. No Access

    Chapter and Conference Paper

    Visual Features Extracting & Selecting for Lipreading

    This paper has put forward a way to select and extract visual features effectively for lipreading. These features come from both lowlevel and high-level, those are compensatory each other. There are 41 dimensi...

    Hong-xun Yao, Wen Gao, Wei Shan, Ming-hui Xu in Audio- and Video-Based Biometric Person Au… (2003)

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    Chapter and Conference Paper

    A Hybrid Approach to Extracting Tooth Models from CT Volumes

    As the tooth root has similar bone density to the jaw where it is embedded, its complete boundaries are either missing or at low contrast in the computed tomography (CT) volume data. This paper proposes a hybr...

    Sheng-Hui Liao, Wei Han, Ruo-Feng Tong, **-**ang Dong in Mathematics of Surfaces XI (2005)

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    Chapter and Conference Paper

    Propagation of Geometric Tolerance Zones in 3D

    This paper considers error propagation in three dimensional geometric constructions using a geometric approach. First, we present definitions and constructions of tolerance zones for various fundamental elemen...

    Song-Hai Zhang, Qi-Hui Zhu, Ralph R. Martin in Mathematics of Surfaces XII (2007)

  4. Chapter and Conference Paper

    Construction and Application of PSO-SVM Model for Personal Credit Scoring

    The parameters of support vector machine (SVM) are crucial to the model’s classification performance. Aiming at the randomicity of selecting the parameters in SVM, this paper constructed a PSO-SVM model by usi...

    Ming-hui Jiang, Xu-chuan Yuan in Computational Science – ICCS 2007 (2007)

  5. Chapter and Conference Paper

    Practical Error Analysis of Cross-Ratio-Based Planar Localization

    Recently, more and more computer vision researchers are paying attention to error analysis so as to fulfill various accuracy requirements arising from different applications. As a geometric invariant under pro...

    Jen-Hui Chuang, Jau-Hong Kao, Horng-Horng Lin in Advances in Image and Video Technology (2007)

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    Chapter and Conference Paper

    AIMED- A Personalized TV Recommendation System

    Previous personalized DTV recommendation systems focus only on viewers’ historical viewing records or demographic data. This study proposes a new recommending mechanism from a user oriented perspective. The re...

    Shang H. Hsu, Ming-Hui Wen, Hsin-Chieh Lin in Interactive TV: a Shared Experience (2007)

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    Chapter and Conference Paper

    Multi-media e-Learning Platform Using Green Design with Near-Real Approach

    The most of e-Learning and video conference platform receives the limitation of population and the file format, the inconvenience to the users, and requirement of specific software. This paper proposes an effe...

    Yuan-Hsun Liao, Chia-Ming Liu, Bo-Yen Wang in Learning by Playing. Game-based Education … (2009)

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    Chapter and Conference Paper

    The Experience of Adopting Game-Based Learning in Library Instruction

    The research is based on the course of library instruction and also a pilot study before adopting game-based learning into real library instruction course. The difficulty of the research is how we can make the...

    Sheng-Hui Hsu, Shu-Chen Cheng in Learning by Playing. Game-based Education … (2009)

  9. Chapter and Conference Paper

    An Improved Adaptive Smoothing Method

    An improvement of the Chen’s method has been provided through the calculation of a more accurate H map. The H map is the pixel’s contextual inhomogeneity value reflecting its proximity position with respect to...

    **n Hu, Hui Peng, Joseph Kesker, **ang Cai in Image Analysis and Processing – ICIAP 2009 (2009)

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    Chapter and Conference Paper

    Identifying Approximate Palindromes in Run-Length Encoded Strings

    We study the problem of identifying palindromes in compressed strings. The underlying compression scheme is called run-length encoding, which has been extensively studied and widely applied in diverse areas. G...

    Kuan-Yu Chen, **-Hui Hsu, Kun-Mao Chao in Algorithms and Computation (2010)

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    Chapter and Conference Paper

    A Study of Cooperative and Collaborative Online Game-Based Learning Systems

    The study employs the quasi-experiment method to evaluate teaching achievements. The learning achievements of the two online game-type computer assisted learning systems are significantly better than that of c...

    Wan-Chun Lee, Wen-Chi Huang, Yuan-Chen Liu in Edutainment Technologies. Educational Game… (2011)

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    Chapter and Conference Paper

    Non-user-Specific Multivariate Biometric Discretization with Medoid-Based Segmentation

    Univariate discretization approach that transforms continuous attributes into discrete elements/binary string based on discrete/binary feature extraction on a single dimensional basis have been attracting much...

    Meng-Hui Lim, Andrew Beng ** Teoh in Biometric Recognition (2011)

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    Chapter and Conference Paper

    Distance Entropy as an Information Measure for Binary Biometric Representation

    To uphold the security of individuals, analyzing the amount of information in binary biometric representation is highly essential. While Shannon entropy is a measure to quantify the expected value of informati...

    Yi Cheng Feng, Pong Chi Yuen, Meng-Hui Lim in Biometric Recognition (2012)

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    Chapter and Conference Paper

    Discriminant Spectral Hashing for Compact Palmprint Representation

    When palmprint recognition needs to be run in the device with low processing and small storage capacities, binary representation with low storage overhead, high matching speed and high discrimination power is ...

    Ying-Cong Chen, Meng-Hui Lim, Pong-Chi Yuen, Jian-Huang Lai in Biometric Recognition (2013)

  15. Chapter and Conference Paper

    The Sixth Visual Object Tracking VOT2018 Challenge Results

    The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...

    Matej Kristan, Aleš Leonardis, Jiří Matas in Computer Vision – ECCV 2018 Workshops (2019)