The problem of minimizing the execution time of programs within a heterogeneous environment is considered. Different computational characteristics within a parallel algorithm may make switching execution from one mach...
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Detecting faces accurately under natural lighting conditions remains a challenging task for advancing the performance of face recognition systems. Most face detection algorithms are associated with visible spectrum im...
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ISBN:
(纸本)9781601321190
Detecting faces accurately under natural lighting conditions remains a challenging task for advancing the performance of face recognition systems. Most face detection algorithms are associated with visible spectrum imagery which compromises their efficiency when image acquisition is subject to variable illumination. In this study, we propose a simple yet powerful solution that uses multiple cues to detect and locate faces accurately in near infrared (NIR) imaging systems. Specific objectives include (I) extract optimally the illumination and reflectance components of the original image using an intrinsic images decomposition technique, (2) modify the segmentation process by using an energy minimization procedure in an adaptive fashion, and (3) propose an enhanced face detection process on the basis of pupil localization. The evaluation of our face detector on image sequences of 45 different subjects from the CBSR NIR face dataset demonstrated a highly competitive accuracy with less than 5% error rate.
In this paper, we present our Grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, we show that, based on the scope and model of data mining applie...
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To assure the parallel implementation of an algorithm performs to its maximum potential, a knowledge of the specific parallel machine being used is required. Mapping gray-scale morphological operators and a filter in ...
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To assure the parallel implementation of an algorithm performs to its maximum potential, a knowledge of the specific parallel machine being used is required. Mapping gray-scale morphological operators and a filter in a SIMD, a MIMD, and a mixed-mode environment is analyzed. The matching of several algorithmic techniques and machine features are examined analytically and experimentally. Issues considered include concurrent execution of subtasks, data layout, choice of data transfer protocols, and the mode of parallelism used. Experiments are performed using the MIMD Intel Paragon, SIMD MasPar MP-I, and the mixed-mode PASM prototype. The analytical results and experimental procedures can be applied to other systems as well.
作者:
Butola, RajatLi, YimingKola, Sekhar ReddyNational Yang Ming Chiao Tung University
Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University
Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan
Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capt...
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Many image compression techniques involve segmentation of a gray level image. With such techniques, information is extracted that describes the regions in the segmented image, and this information is then used to form...
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In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there...
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Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional bound...
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The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have establ...
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The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have established a set of local rules/modifications, that do improve the performance of the standard ACS and these are reported here.
We propose in this paper a new video shot boundary classification (SBC) method. First we present a method to extract features, which exploits the spatial-temporal information of video frames in a sliding window center...
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