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2010 International Conference on Technologies and Applications of Artificial Intelligence

Date 18-20 Nov. 2010

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Displaying Results 1 - 25 of 96
  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • [Title page i]

    Publication Year: 2010, Page(s): i
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  • [Title page iii]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2010, Page(s): iv
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  • Table of contents

    Publication Year: 2010, Page(s):v - xi
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  • Message from the Conference Chairs and Program Chairs

    Publication Year: 2010, Page(s):xii - xiii
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  • TAAI Organizing Committee

    Publication Year: 2010, Page(s):xiv - xv
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  • TAAI Reviewers

    Publication Year: 2010, Page(s): xvi
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  • ICWG Workshop Organization

    Publication Year: 2010, Page(s): xvii
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  • ICWG Workshop Reviewers

    Publication Year: 2010, Page(s): xviii
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  • TAEA Workshop Organization

    Publication Year: 2010, Page(s): xix
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  • TAEA Workshop Reviewers

    Publication Year: 2010, Page(s): xx
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  • Robust Algorithm for Computational Color Constancy

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (742 KB) | HTML iconHTML

    Color constancy (CC) or white balance (WB) is an important image processing step in digital camera and machine vision. This paper presents a robust computational algorithm that offers an accurate solution for CC. The proposed CC measure exploits the scanning strategy of RGB channel gain adjustment. In addition, the suppressing mechanism of grayscale pixel maximization (GPM) is used to locate poten... View full abstract»

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  • Adaptive Image Enhancement for Fluorescence Microscopy

    Publication Year: 2010, Page(s):9 - 16
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB) | HTML iconHTML

    Fluorescent cell micrographs contain inhomogeneous contrast levels due to fluorescence intensity variations and the existence of out-of-focus objects. A novel image enhancement method based on adaptive local region sizes is proposed, which can correctly highlight salient objects from changing background intensity. The local region size for each pixel is determined adaptively, then locally normaliz... View full abstract»

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  • A Hybrid Fast Fractal Image Encoding

    Publication Year: 2010, Page(s):17 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB) | HTML iconHTML

    In traditional fractal image compression, the encoding procedure is time-consuming due to the full search mechanism. In order to speed-up the encoder, we adopt particle swarm optimization method performed under classification and Dihedral transformation to further decrease the amount of MSE computations. The classifier partitions all of the blocks in domain pool and range pool into three classes a... View full abstract»

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  • Classification-based Image Compression Method

    Publication Year: 2010, Page(s):21 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (437 KB) | HTML iconHTML

    A new classification-based image compression algorithm is presented which applies average gradients and gives a better choice of compression algorithm. Extensive experimental results show that this new algorithm has better compression performances in comparison with the existing algorithms which directly compress images without classifications. View full abstract»

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  • A fusion technique for iris localization and detection

    Publication Year: 2010, Page(s):27 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (351 KB) | HTML iconHTML

    An automated algorithm to localize irises for Middle East individuals had been developed in this research. Histogram equalization, Logabout, Difference of Gaussian (DoG), wavelet transformation, Principle Component Analysis (PCA) and Artificial Neural Network are popular techniques used for image processing, feature extraction and classification. A fusion of these techniques had been introduced to... View full abstract»

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  • A Novel System Model to Recognition of Merged-Characters Under Linear, Nonlinear and Overlapped

    Publication Year: 2010, Page(s):31 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (338 KB) | HTML iconHTML

    This article introduces a traditional model for recognition of the merged-characters. It consists in modeling each sequence with the segmentation which is to cut the isolate items and the recognition which is to make the decision for accepting. In this paper we propose two algorithms based on this system model with one Kinematical Drop-Fall Algorithm for segmentation which could resolve different ... View full abstract»

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  • Multi-Objective Quantum Evolutionary Algorithm for Discrete Multi-Objective Combinational Problem

    Publication Year: 2010, Page(s):39 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    Weighted linear scalar, which transfers a multiobjective problem to many single objective sub-problems, is a basic strategy in traditional multi-objective optimization. However, it is not well used in many multi-objective evolutionary algorithms because of most of them are lack of balancing between exploitation and exploration for all sub-problems. This paper proposes a novel multi-objective evolu... View full abstract»

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  • An Extensional Signed Lambda-fuzzy Measure Based on Signed Monotonicity

    Publication Year: 2010, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (164 KB) | HTML iconHTML

    In this paper, first of all, for generalizing the notion of monotonicity, a most important key word, called signed monotonicity, is proposed, it is a generalization of not only the non-negative monotonicity but also the revised monotonicity, furthermore, the signed measure satisfying signed monotonicity, called a generalized signed fuzzy measure, is also proposed. It is proved that this new measur... View full abstract»

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  • LAMP, A Lyrics and Audio MandoPop Dataset for Music Mood Estimation: Dataset Compilation, System Construction, and Testing

    Publication Year: 2010, Page(s):53 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (642 KB) | HTML iconHTML

    Music mood estimation (MME) is an emerging subfield in music information retrieval research. Whereas most MME research focuses on audio analysis, exploring the significance of lyrics in predicting song emotion has been receiving more attention in recent years. One major impediment to MME research is the lack of clearly-labeled and publicly-available datasets of separately annotated lyrics and audi... View full abstract»

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  • A Reinforcement Learning Approach to Emotion-based Automatic Playlist Generation

    Publication Year: 2010, Page(s):60 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB) | HTML iconHTML

    A novel trend emerged in music exploration is to organize and search songs according to their emotions. However, research on automatic playlist generation (APG) primarily focuses on metadata and audio similarity. Mainstream solutions view APG as a static problem. This paper argues that the APG problem is better modeled as a continuous optimization problem, and proposes an adaptive preference model... View full abstract»

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  • An Exploration of Native Speakers' Eye Fixations in Reading Chinese Text

    Publication Year: 2010, Page(s):66 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    We collected the locations of eye fixations of Chinese native speakers when they read four Chinese articles, and attempted to analyze how the contextual linguistic and personal information influence the landing positions within the landing sites. In addition, we employed machine learning techniques to build models for the prediction of the landing positions. The models performed well for the close... View full abstract»

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  • An Intelligent Recommendation Model with a Case Study on u-Tour Taiwan of Historical Momuments and Cultural Heritage

    Publication Year: 2010, Page(s):72 - 79
    Cited by:  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1751 KB) | HTML iconHTML

    Although there are many recommendation systems in use, they all face various challenges including the integration of diverse source data, improvement of prediction precision and meeting the user's satisfaction. In order to increase success rate of satisfied recommendations as well as the applications in different domain fields, we propose an Intelligent Recommendation Model and conduct a case stud... View full abstract»

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  • Bankruptcy Prediction Incorporating Macroeconomic Variables Using Neural Network

    Publication Year: 2010, Page(s):80 - 85
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    First Page of the Article
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