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Identifying city landmarks by mining web albumsYang, Yi Yang January 2015 (has links)
University of Macau / Faculty of Science and Technology / Department of Computer and Information Science
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Hierarchical kernel-based learning algorithms and their applicationsXia, Tian January 2015 (has links)
University of Macau / Faculty of Science and Technology / Department of Computer and Information Science
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Community detection and credibility analysis on social networksHu, Wei Shu January 2015 (has links)
University of Macau / Faculty of Science and Technology / Department of Computer and Information Science
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Local topology of social networks in supporting recommendations and diversity identification of reviewsZou, Hai Tao January 2015 (has links)
University of Macau / Faculty of Science and Technology / Department of Computer and Information Science
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THE USE OF FINITE IMPULSE RESPONSE KERNELS FOR IMAGE RESTORATION.BRUEGGE, THOMAS JOSEPH. January 1985 (has links)
This dissertation examines the suitability of Display-Processor (DP) image computers for image enhancement and restoration tasks. Because the major architectural feature of the DP devices is their ability to rapidly evaluate finite impulse response (FIR) convolutions, much of the study focusses on the use of spatial-domain FIR convolutions to approximate Fourier-domain filtering. When the enhancement task requires the evaluation of only a single convolution, it is important that the FIR kernel used to implement the convolution is designed so that the resulting output is a good approximation of the desired output. A Minimum-Mean-Squared-Error design criterion is introduced for the purpose of FIR kernel design and its usefulness is demonstrated by showing some results of its use. If the restoration or enhancement task requires multiple convolutions in an iterative algorithm, it is important to understand how the truncation of the kernel to a finite region of support will affect the convergence properties of an algorithm and the output of the iterative sequence. These questions are examined for a limited class of nonlinear restoration algorithms. Because FIR convolutions are most efficiently performed on computing machines that have limited precision and are usually limited to performing fixed-point arithmetic, the dissertation also examines the effects of roundoff error on output images that have been computed using fixed point math. The number of bits that are needed to represent the data during a computation is algorithm dependent, but for a limited class of algorithms, it is shown that 12 bits are sufficient. Finally, those architectural features in a DP that are necessary for useful enhancement and restoration operations are identified.
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INTERACTIVE IMAGE SEGMENTATIONDraelos, Timothy John, 1961- January 1987 (has links)
No description available.
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Multiresolution techniques on a parallel multidisplay multiresolution image compositing systemBlanke, William John, 1972- 16 March 2011 (has links)
Not available / text
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Approximation of polygonal curves陳穎韶, Chan, Wing-shiu. January 1994 (has links)
published_or_final_version / Computer Science / Master / Master of Philosophy
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A system for counting people using image processing伍志堅, Ng, Chi-kin. January 2001 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
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Panorama interpolation for novel view composition揚國豪, Yeung, Kwok-ho. January 2000 (has links)
published_or_final_version / Computer Science and Information Systems / Master / Master of Philosophy
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