This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a members...
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Cell-PLoc 2.0 is a package of web-servers evolved from Cell-PLoc (Chou, K.C. & Shen, H.B., Nature Protocols, 2008, 2:153-162) by a top-down approach to improve the power for predicting subcellular localization of ...
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Cell-PLoc 2.0 is a package of web-servers evolved from Cell-PLoc (Chou, K.C. & Shen, H.B., Nature Protocols, 2008, 2:153-162) by a top-down approach to improve the power for predicting subcellular localization of proteins in various organisms. It contains six predictors: Euk-mPLoc 2.0, Hum-mPLoc 2.0, Plant-mPLoc, Gpos-mPLoc, Gneg-mPLoc, and Virus-mPLoc, specialized for eukaryotic, human, plant, Gram- positive bacterial, Gram-negative bacterial, and virus proteins, respectively. Compared with Cell-PLoc, the predictors in the Cell-PLoc 2.0 have the following advantageous features: (1) they all have the capacity to deal with the multiplex proteins that can simultaneiously exist, or move between, two or more subcellular location sites;(2) no accession number is needed for the input of a query protein even if using the “high- level” GO (gene ontology) prediction engine;(3) the functional domain information and sequential evolution information are fused into the “ab initio” sequence-based prediction engine to enhance its accuracy. In this protocol, a step- to-step guide is provided for how to use the web server predictors in the Cell-PLoc 2.0 package, which is freely accessible to the public at http://***/bioinf/Cell-PLoc-2/.
Blurred images are caused by many factors such as defocus, motion, and atmospheric turbulence. Due to the unknown various factors that cannot be distinguished in the blurred image, it is necessary to propose a unified...
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In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which i...
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This paper presents a copy-paste block detection method based on characteristics of double JPEG compress. The JPEG compress will bring JPEG compression characteristics to the DCT coefficients, these characteristics ar...
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In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given ...
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A novel authentication watermarking scheme for images is proposed in this paper, which holds accuracy location and high security at the same time. In the scheme, different keys are selected for different host data, an...
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With the unprecedented growing of city economy and the crying need for public transportation,the ease of traffic related problems such as traffic jams has been a hard nut to crack everywhere. In this paper,a new metho...
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ISBN:
(纸本)9781424463473
With the unprecedented growing of city economy and the crying need for public transportation,the ease of traffic related problems such as traffic jams has been a hard nut to crack everywhere. In this paper,a new method based on convexity and concavity to better position the roads and streets of urban areas in order for further GPS/GIS integrated system,which is used for traffic flow analysis,traffic forecast,traffic induction and car positioning and tracking etc,is proposed. Compared with our previous work,this method can yield better results,and the accuracy that we get can be comparable to Google map. Our experiments are based on the data of the city of Shanghai and the results are very satisfying.
In this paper, we propose spatial localization of multiple sound sources using a spherical robot head equipped with four microphones. We obtain arrival time differences using phase difference candidates. Based on the ...
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Theories in fragmentation have proved that the statistics of image gradient magnitude followed a Weibull distribution, with β (scale) and γ (shape) as free parameters, which are demonstrated to be strongly correlate...
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ISBN:
(纸本)9781424469598;9781424469604
Theories in fragmentation have proved that the statistics of image gradient magnitude followed a Weibull distribution, with β (scale) and γ (shape) as free parameters, which are demonstrated to be strongly correlated with brain response. In this paper, we chose β extracted from the proposed strongest component map (SCM) in scale space, as the reduced reference (RR) feature, and developed a novel method for reduced reference image quality assessment (RRIQA) named βW-SCM. For each scale, the SCM was constructed by assembling coefficients with maximum amplitude among different orientations into a single map. The Weibull parameters were then estimated from the SCM. The final image quality was computed by summing the geometric mean of the defined absolute and relative deviations of β. Performance evaluation on the well-known LIVE database demonstrated an outstanding advantage of low RR feature data rate with nearly the same prediction accuracy and consistency.
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