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Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Date 4-6 Nov. 2009

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Displaying Results 1 - 25 of 209
  • 2009 CCPR - Title page

    Publication Year: 2009, Page(s): i
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  • 2009 CCPR [Copyright notice]

    Publication Year: 2009, Page(s): i
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  • 2009 CCPR Sponsors and Organization

    Publication Year: 2009, Page(s):i - iii
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  • 2009 CCPR Forewords

    Publication Year: 2009, Page(s):i - iii
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  • 2009 CCPR Keynotes

    Publication Year: 2009, Page(s):i - iv
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (239 KB)

    Minimally supervised machine learning methods based on bootstrapping are an attractive approach to advanced information extraction. Complex patterns signalling relevant semantic relations in free texts can be detected in this way. However, the potential and limitations of such methods are not yet sufficiently understood. We have systematically analyzed a bootstrapping approach. The starting point ... View full abstract»

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  • 2009 CCPR Table of contents

    Publication Year: 2009, Page(s):i - xxvi
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  • 2009 CCPR author index

    Publication Year: 2009, Page(s):i - iii
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  • 3D Gray Level Moment Invariants: A Novel Shape Representation

    Publication Year: 2009, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (397 KB) | HTML iconHTML

    3D moment invariants are traditionally based on region characteristics and the location of every pixel point, this will cause high calculation cost. In this paper, a novel shape representation named 3D gray level moment invariants is constructed. Some properties of the new representation including the independence of the translation, scaling and rotation transforms are proved. Experiments indicate... View full abstract»

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  • A Character Detection Algorithm in DCT Domain for Video

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (530 KB)

    A DCT-domain based character detection algorithm is proposed for video stream. It utilizes the directional features of the texture in character blocks and the property that the characters in video usually distribute in row or column. The character/non-character blocks are effectively separated by a new adaptive threshold, then the noise and false text regions are further removed by morphological o... View full abstract»

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  • A Classification Approach to Identify Definitions in Aviation Domain

    Publication Year: 2009, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (378 KB)

    In this paper, we introduce a classification approach to identify definitions of all terms from a aviation professional corpus. The corpora of aviation domain are firstly segmented by LTP platform from HIT. Then four feature selection methods and two classifiers are applied to extract definitions. First of all, we summarize the correct proportion of feature subset used in classification of term de... View full abstract»

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  • A Classifying and Exploring System Based on Users' Tagging Behaviors

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1054 KB)

    Nowadays, as information explosion, it becomes increasingly important for users to find a resource fast and efficiently in social tagging systems. To deal with the problem, this paper constructs an information classifying and exploring system based on users' tagging behaviors. We group the tags and resources by their semantic relations to construct Tag Bundles automatically, and generate a suitabl... View full abstract»

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  • A Design of Iris Recognition System at a Distance

    Publication Year: 2009, Page(s):1 - 5
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (342 KB) | HTML iconHTML

    Iris recognition is a powerful biometrics for personal identification, but it is difficult to acquire good-quality iris images in real time. For making iris recognition more convenient to use, we design an iris recognition system at a distance about 3 meters. There are many key issues to design such a system, including iris image acquisition, human-machine-interface and image processing. In this p... View full abstract»

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  • A Discretization Algorithm of Continuous Attributes Based on Supervised Clustering

    Publication Year: 2009, Page(s):1 - 5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (330 KB) | HTML iconHTML

    Many machine learning algorithms can be applied only to data described by categorical attributes. So discretization of continuous attributes is one of the important steps in preprocessing of extracting knowledge. Traditional discretization algorithms based on clustering need a pre-determined clustering number k, also typically are applied in an unsupervised learning framework. This paper describes... View full abstract»

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  • A Fast 2D Otsu Thresholding Algorithm Based on Improved Histogram

    Publication Year: 2009, Page(s):1 - 5
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (295 KB) | HTML iconHTML

    Otsu adaptive thresholding is widely used in classic image segmentation. Two-dimensional Otsu thresholding algorithm is regarded as an effective improvement of the original Otsu method. To reduce the high computational complexity of 2D Otsu method, a fast algorithm is proposed based on improved histogram. Two-dimensional histogram is projected onto the diagonal, which forms 1D histogram with obvio... View full abstract»

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  • A Fast Rich Information-Based Stereo Matching Framework

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1348 KB) | HTML iconHTML

    With the recent development on image affine region descriptors, we can extract more salient and useful local information from images. That information can be used to help us to better solve a fundamental problem in computer vision stereo vision. In this paper we propose a framework for stereo matching problems in order to give a rich-information based, high-precision and fast solution. Affine regi... View full abstract»

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  • A Fault Diagnosis Method Combined Fuzzy Logic with CMAC Neural Network for Power Transformers

    Publication Year: 2009, Page(s):1 - 5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB) | HTML iconHTML

    Dissolved gas analysis (DGA) is an effective method for early detection of incipient faults in power transformers. To improve the accuracy of fault diagnosis, a fault diagnosis method combined fuzzy logic with cerebellar model articulation controller (CMAC) neural network is proposed in this paper. The proposed fuzzy CMAC neural network (FCMAC) has an optimization mechanism to ensure high diagnosi... View full abstract»

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  • A Fuzzy Clustering Algorithm for Image Segmentation Using Dependable Neighbor Pixels

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (455 KB) | HTML iconHTML

    In this paper, a fuzzy clustering algorithm using dependable neighbor pixels is proposed for image segmentation. In order to enhance the segmentation performance, the proposed algorithm utilizes the local statistical information to discriminate dependable neighbor pixels from undependable neighbor pixels, and then allows the labeling of the pixel to be influenced by the dependable neighbor pixels.... View full abstract»

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  • A Graph Representation for Silhouette Based on Multiscale Analysis

    Publication Year: 2009, Page(s):1 - 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (246 KB) | HTML iconHTML

    Graph descriptor is usually focused on in computer vision for its flexibility and richness. However, in object recognition, it is difficult to catch the feature of an object completely with a straightforward way by a graph. In this paper, from a multiscale viewpoint, we propose a method to construct a vertex-labeled graph for image recognition where the label represents the importance of a vertex ... View full abstract»

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  • A Method Based on General Model and Rough Set for Audio Classification

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (382 KB)

    As one of important information component in multimedia, audio enriches information perception and acquisition. Analyses and extractions of audio features are the base of audio classification. It's important to extract audio features effectively for content-based audio retrieval. In this paper, based on the theory of rough set, audio features are reduced and a lower-dimension feature set can be ob... View full abstract»

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  • A Method of Building Chinese Basic Semantic Lexicon Based on Word Similarity

    Publication Year: 2009, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (238 KB) | HTML iconHTML

    Identification of sentiment orientation in Chinese words is essential for getting sentiment comprehension of Chinese text, and building a basic semantic lexicon with Chinese emotional words will provide a core subset for identifying emotional words in a special area. It can not only help to identify and enlarge semantic lexicon in corpus effectively but also improve classification efficiency. On t... View full abstract»

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  • A Modified Differential Evolution Algorithm for Multi-Objective Optimization Problems

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (402 KB)

    Differential evolutionary (DE) is a simple, fast and robust evolutionary algorithm for multi-objective optimization problems (MOPs). This paper is to introduce a modified differential evolutionary algorithm (MDE) to solve MOPs. There are some different points between MDE and traditional DE: individual mutation and its selection strategy; MDE allows infeasible solutions of population to participate... View full abstract»

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  • A Multi-Class Multi-Manifold Learning Algorithm Based on ISOMAP

    Publication Year: 2009, Page(s):1 - 5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    The classical algorithm ISOMAP can find the intrinsic low-dimensional structures hidden in high-dimensional data uniformly distributed on or around a single manifold, but if the data are sampled from multi-class, each of which corresponds to an independent manifold, and clusters formed by data points belonging to each class are separated away, several disconnected neighborhood graphs will form, wh... View full abstract»

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  • A New Approach for Video Scene Boundary Detection

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (543 KB)

    Scene is the semantic unit in video. Video scene segmentation is a difficult task in content based video structure analysis. This paper proposes a new approach for scene boundary detection. We first construct shot content coherence signal using normalized cut criterion and then use a heuristic algorithm to detect scene boundary. Because the normalized cut criterion simultaneously emphasizes on the... View full abstract»

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  • A New Binarization Method for a Sign Board Image with the Blanket Method

    Publication Year: 2009, Page(s):1 - 4
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (595 KB) | HTML iconHTML

    We propose a new binarization method suited for character extraction from a sign board in a scenery image. The binarization is one of a significant step in character extraction in order to get high quality result. Character region on sigh board, however, has many variation and colors. In addition to it, if there exists high frequency texture region like a mountain or trees in the background, it ca... View full abstract»

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  • A New Mixed Particle Filter Based on an Auxiliary Model

    Publication Year: 2009, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    Particle filter is an effective method for non-linear filter and it has been gained special attention of researchers in various fields. There will be a new mixed particle filter (PUPF) proposed in this paper based on the general particle filter and the unscented particle filter. lt first uses the general particle filter to generate particles for estimating the state at time k and then a new auxili... View full abstract»

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