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Journal articles on the topic 'Template-based method'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

LAKSHMIPATHY, JAGANNATHAN, WIESLAW L. NOWINSKI, and ERIC A. WERNERT. "TEMPLATE-BASED ISOCONTOURING." International Journal of Image and Graphics 06, no. 02 (April 2006): 187–204. http://dx.doi.org/10.1142/s0219467806002197.

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Different isocontour extraction methods use different cell types (tetrahedral, hexahedral, etc.) depending on the nature of the acquisition grids (structured, unstructured, etc.). The existing isocontouring methods have the following pre-steps for the actual extraction process: (a) identification of cell types, (b) identification of topologically independent instances for each cell type, (c) determination of surface primitives contained in the topologically independent instances and (d) generation of a lookup table such that the name of the entry is an instance of a cell and the entry is the triangle set for that instance. The extraction process outputs the triangles from the lookup table. In this paper we present a novel generic method that enables us to list topologically independent surface primitives called "templates" within any n-polytope cell namely tetrahedra, hexahedra etc. We have also modified the traditional lookup table such that name is the cell instance and the entry is face index representations of all template instances contained in that cell. To show an example, we have applied this approach on a hexahedron and listed the templates and subsequently we have showed how to construct a lookup table. Most modern graphics hardware render triangles faster if they are rendered collectively as triangle strips as opposed to individual triangles. With our modified lookup table approach we can identify triangles in the neighboring cell in a linear time and hence we are able to connect two triangle strips into a longer triangle strip on the fly during the extraction process. We have compared our approach with some existing methods. The following are some of the important features of the method: (1) Simplicity, (2) procedural triangulation and (3) face-index representation.

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Zhang, Huacheng, Zhaona Liu, Feifei Xin, and Aiyou Hao. "Organic Synthesis Based on Cyclodextrins Template Method." Chinese Journal of Organic Chemistry 32, no. 1 (2012): 30. http://dx.doi.org/10.6023/cjoc1104221.

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3

Li, Na, and Xing-yu Gong. "Calibration Template Method Based on Statistical Distribution." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 12 (December 31, 2016): 71–78. http://dx.doi.org/10.14257/ijsip.2016.9.12.08.

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Vangaveti, Sweta, Thom Vreven, Yang Zhang, and Zhiping Weng. "Integrating ab initio and template-based algorithms for protein–protein complex structure prediction." Bioinformatics 36, no. 3 (August 8, 2019): 751–57. http://dx.doi.org/10.1093/bioinformatics/btz623.

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Abstract Motivation Template-based and template-free methods have both been widely used in predicting the structures of protein–protein complexes. Template-based modeling is effective when a reliable template is available, while template-free methods are required for predicting the binding modes or interfaces that have not been previously observed. Our goal is to combine the two methods to improve computational protein–protein complex structure prediction. Results Here, we present a method to identify and combine high-confidence predictions of a template-based method (SPRING) with a template-free method (ZDOCK). Cross-validated using the protein–protein docking benchmark version 5.0, our method (ZING) achieved a success rate of 68.2%, outperforming SPRING and ZDOCK, with success rates of 52.1% and 35.9% respectively, when the top 10 predictions were considered per test case. In conclusion, a statistics-based method that evaluates and integrates predictions from template-based and template-free methods is more successful than either method independently. Availability and implementation ZING is available for download as a Github repository (https://github.com/weng-lab/ZING.git). Supplementary information Supplementary data are available at Bioinformatics online.

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Koutaki, Gou, Kousirou Yata, and Keiichi Uchimura. "Eigen Template Method Based Integral Normalized Edge Similarity." Transactions of the Institute of Systems, Control and Information Engineers 26, no. 8 (2013): 314–21. http://dx.doi.org/10.5687/iscie.26.314.

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Lai, Yingxu, Zenghui Liu, and Tao Ye. "Software behaviour analysis method based on behaviour template." International Journal of Simulation and Process Modelling 13, no. 2 (2018): 126. http://dx.doi.org/10.1504/ijspm.2018.091693.

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Lai, Yingxu, Zenghui Liu, and Tao Ye. "Software behaviour analysis method based on behaviour template." International Journal of Simulation and Process Modelling 13, no. 2 (2018): 126. http://dx.doi.org/10.1504/ijspm.2018.10012818.

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Zhang, Xiao Hui, Qing Liu, and Mu Li. "A Template Matching Method Based on Genetic Algorithm Optimization." Applied Mechanics and Materials 220-223 (November 2012): 1298–302. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1298.

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This paper presents a method of using Genetic Algorithm (GA) to optimize template and image searching process, using template matching to recognize target. An initial matching template is set manually according to 2D shape and the optimizing template is obtained by GA optimizing to meet the requirement of real-time and effective performance. Then the pixel position is encoded into genes, template correlation degree function works as fitness function to do GA search to recognize the target. The relating image process experiments show that this method has good real-time and robustness performance.

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Zheng, Jinfang, Xu Hong, Juan Xie, Xiaoxue Tong, and Shiyong Liu. "P3DOCK: a protein–RNA docking webserver based on template-based and template-free docking." Bioinformatics 36, no. 1 (June 7, 2019): 96–103. http://dx.doi.org/10.1093/bioinformatics/btz478.

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AbstractMotivationThe main function of protein–RNA interaction is to regulate the expression of genes. Therefore, studying protein–RNA interactions is of great significance. The information of three-dimensional (3D) structures reveals that atomic interactions are particularly important. The calculation method for modeling a 3D structure of a complex mainly includes two strategies: free docking and template-based docking. These two methods are complementary in protein–protein docking. Therefore, integrating these two methods may improve the prediction accuracy.ResultsIn this article, we compare the difference between the free docking and the template-based algorithm. Then we show the complementarity of these two methods. Based on the analysis of the calculation results, the transition point is confirmed and used to integrate two docking algorithms to develop P3DOCK. P3DOCK holds the advantages of both algorithms. The results of the three docking benchmarks show that P3DOCK is better than those two non-hybrid docking algorithms. The success rate of P3DOCK is also higher (3–20%) than state-of-the-art hybrid and non-hybrid methods. Finally, the hierarchical clustering algorithm is utilized to cluster the P3DOCK’s decoys. The clustering algorithm improves the success rate of P3DOCK. For ease of use, we provide a P3DOCK webserver, which can be accessed at www.rnabinding.com/P3DOCK/P3DOCK.html. An integrated protein–RNA docking benchmark can be downloaded from http://rnabinding.com/P3DOCK/benchmark.html.Availability and implementationwww.rnabinding.com/P3DOCK/P3DOCK.html.Supplementary informationSupplementary data are available at Bioinformatics online.

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Wu, Fandi, and Jinbo Xu. "Deep template-based protein structure prediction." PLOS Computational Biology 17, no. 5 (May 3, 2021): e1008954. http://dx.doi.org/10.1371/journal.pcbi.1008954.

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Motivation Protein structure prediction has been greatly improved by deep learning, but most efforts are devoted to template-free modeling. But very few deep learning methods are developed for TBM (template-based modeling), a popular technique for protein structure prediction. TBM has been studied extensively in the past, but its accuracy is not satisfactory when highly similar templates are not available. Results This paper presents a new method NDThreader (New Deep-learning Threader) to address the challenges of TBM. NDThreader first employs DRNF (deep convolutional residual neural fields), which is an integration of deep ResNet (convolutional residue neural networks) and CRF (conditional random fields), to align a query protein to templates without using any distance information. Then NDThreader uses ADMM (alternating direction method of multipliers) and DRNF to further improve sequence-template alignments by making use of predicted distance potential. Finally, NDThreader builds 3D models from a sequence-template alignment by feeding it and sequence coevolution information into a deep ResNet to predict inter-atom distance distribution, which is then fed into PyRosetta for 3D model construction. Our experimental results show that NDThreader greatly outperforms existing methods such as CNFpred, HHpred, DeepThreader and CEthreader. NDThreader was blindly tested in CASP14 as a part of RaptorX server, which obtained the best average GDT score among all CASP14 servers on the 58 TBM targets.

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Binding, Ceri, Michael Charno, Stuart Jeffrey, Keith May, and Douglas Tudhope. "Template Based Semantic Integration." International Journal on Semantic Web and Information Systems 11, no. 1 (January 2015): 1–29. http://dx.doi.org/10.4018/ijswis.2015010101.

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The online dissemination of datasets is becoming common practice within the archaeology domain. Since the legacy database schemas involved are often created on a per-site basis, cross searching or reusing this data remains difficult. Employing an integrating ontology, such as the CIDOC CRM, is one step towards resolving these issues. However, this has tended to require computing specialists with detailed knowledge of the ontologies involved. Results are presented from a collaborative project between computer scientists and archaeologists that created lightweight tools to make it easier for non-specialists to publish Linked Data. Archaeologists used the STELLAR project tools to publish major excavation datasets as Linked Data, conforming to the CIDOC CRM ontology. The template-based Extract Transform Load method is described. Reflections on the experience of using the template-based tools are discussed, together with practical issues including the need for terminology alignment and licensing considerations.

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Miao, Xu Juan, and Xiao Fei Li. "Template Matching Based on Polar Coordinate." Advanced Materials Research 524-527 (May 2012): 3774–77. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3774.

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A new template matching algorithm based on polar coordinate is proposed to improve the performance of the tracking system. The shape of the matching template is round, and the pixels in the template and the matching area are arranged into circle, which can ensure the rotation invariance of the method. Some differential matching information is added into the matching criterion function, which makes the method have higher recognition precision. In the long time target tracking process, template updating operation is adopted to avoid losing the target. Simulation results prove that the method can be applied in the TV tracking system. Using the same controller, the method has better tracking performance.

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Jiang, Rui Song, Xin Fa Chen, Da Yong Feng, and Feng Jun Wang. "A Novel Structure Design Method Based on Knowledge Template." Applied Mechanics and Materials 159 (March 2012): 18–22. http://dx.doi.org/10.4028/www.scientific.net/amm.159.18.

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In this study, a novel structure design method based on knowledge template was prompted. The notion and construction methods of knowledge template were introduced. Moreover, the knowledge template based design process was represented. The knowledge templates of investment casting die bases of turbine blade were established and a design system for die base was developed. The system provides designers with a semi-automated approach for the die base design. Finally, several sample applications for investment casting die base of turbine blade were presented for demonstration.

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ZHU, Guoteng, and Wei SUN. "Rapid speech keyword spotting method based on template matching." Journal of Computer Applications 33, no. 11 (November 26, 2013): 3138–40. http://dx.doi.org/10.3724/sp.j.1087.2013.03138.

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Sun, Yingyi, Xianfeng Mao, Sheng Hong, Wenhua Xu, and Guan Gui. "Template Matching-Based Method for Intelligent Invoice Information Identification." IEEE Access 7 (2019): 28392–401. http://dx.doi.org/10.1109/access.2019.2901943.

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Zou, Hui, Bing Zhang, Zhigang Tao, and Xiaoping Wang. "A Finger Vein Identification Method Based on Template Matching." Journal of Physics: Conference Series 680 (January 2016): 012001. http://dx.doi.org/10.1088/1742-6596/680/1/012001.

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Qiang, Li, and Zhang Juan. "An Improved Plate Recognition Method Based on Template Matching." International Journal of Recent Engineering Science 5, no. 3 (June 25, 2018): 12–16. http://dx.doi.org/10.14445/23497157/ijres-v5i3p103.

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Yoon, Oh Kyu, Ignacio A. Zuleta, Matthew D. Robbins, Griffin K. Barbula, and Richard N. Zare. "Simple template-based method to produce bradbury-nielsen gates." Journal of the American Society for Mass Spectrometry 18, no. 11 (November 2007): 1901–8. http://dx.doi.org/10.1016/j.jasms.2007.07.030.

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Jin, Mi Hyun, Sang-Rae Yeo, Heon Ho Choi, Chansik Park, and Sang Jeong Lee. "Jammer Identification Technique based on a Template Matching Method." Journal of Positioning, Navigation, and Timing 3, no. 2 (June 15, 2014): 45–51. http://dx.doi.org/10.11003/jpnt.2014.3.2.045.

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Syazlin Zolkifli, Nur, Ain Nazari, Mohd Marzuki Mustafa, Wan NurShazwani Wan Zakaria, Nor Surayahani Suriani, and Wan Nur Hafsha Wan Kairuddin. "Retina blood vessel extraction based on kirsch’s template method." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (April 1, 2020): 318. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp318-325.

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<p class="IJASEITAbtract">Analysis on the retina blood vessels from fundus images have been widely used in the medical community to detect the disorder condition in the blood vessels. An automated tracing of retina blood vessel can help to provide valuable computer-assisted diagnosis for the ophthalmic disorders. Thus, it helps to reduce the time for the ophthalmologist to analyses and diagnose the result of the fundus image of patient. The purpose of this research is to build an algorithm to trace the retina blood vessels. The method to be used in this research consist of two parts which are the pre-processing part and the feature extraction by using the Kirsch’s template. Combining the pre-processing at the early stage and feature extraction at the next stage is applied to extract the edges of the blood vessels. The proposed algorithm was verified by using two online databases, DRIVE and HRF to validate the performance measures. Hence, proposed method is capable to extract the retina blood vessel and give the accuracy of 0.7917, the sensitivity of 0.9077 and the specificity of 0.7215. In conclusion, the extraction of the blood vessels is highly recommended as the early screening stage for the eye diseases beneficially.</p>

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Cao, Lixin, Wenlan Ba, and Jian Liu. "A surface modeling method based on the envelope template." Computer Aided Geometric Design 28, no. 9 (December 2011): 527–36. http://dx.doi.org/10.1016/j.cagd.2011.10.001.

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Wang, Xing, Ying Wu, Xiaowei Liu, Jianyong Chen, Congmian Zhen, Li Ma, and Denglu Hou. "A template-based method for preparing ordered porous silicon." Journal of Porous Materials 22, no. 6 (July 15, 2015): 1431–35. http://dx.doi.org/10.1007/s10934-015-0023-9.

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Ba, Wenlan, Ning Ren, and Haihong Wu. "A curve modeling method based on the envelope template." Journal of Computational and Applied Mathematics 308 (December 2016): 187–98. http://dx.doi.org/10.1016/j.cam.2016.06.001.

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Jia, Jing Ping. "Template Based Table Document Recognition." Applied Mechanics and Materials 239-240 (December 2012): 932–35. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.932.

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In this paper we proposed an effective but simple table recognition algorithm in the OCR field. First a binary image template is built for the tables to be recognized, which consists of all the lines describing the table cells we are interested in. Then the images to be analyzed are thresholded and deskewed. Vertical and horizontal lines are extracted from the preprocessed image to form a table “scene”. Finally the binary image template is aligned to the table “scene” by minimizing their Hausdorff distance. From the alignment the image regions of interest corresponding to the table cells are extracted for further recognition task. Experiments show that the proposed method with the template can cope with many low quality images and achieve good recognition results.

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Ni, Jianjun, Xue Zhang, Pengfei Shi, and Jinxiu Zhu. "An Improved Kernelized Correlation Filter Based Visual Tracking Method." Mathematical Problems in Engineering 2018 (December 17, 2018): 1–12. http://dx.doi.org/10.1155/2018/6931020.

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Correlation filter based trackers have received great attention in the field of visual target tracking, which have shown impressive advantages in terms of accuracy, robustness, and speed. However, there are still some challenges that exist in the correlation filter based methods, such as target scale variation and occlusion. To deal with these problems, an improved kernelized correlation filter (KCF) tracker is proposed, by employing the GM(1,1) grey model, the interval template matching method, and multiblock scheme. In addition, a strict template update strategy is presented in the proposed method to accommodate the appearance change and avoid template corruption. Finally, some experiments are conducted. The proposed method is compared with the top state-of-the-art trackers, and all the tracking algorithms are evaluated on the object tracking benchmark. The experimental results demonstrate obvious improvements of the proposed KCF-based visual tracking method.

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Yang, Da Wei, Yan Qi, and Li Ping Liu. "An Object Tracking Method Based on Illumination Compensation." Applied Mechanics and Materials 742 (March 2015): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.742.286.

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Aiming at the illumination change and partial occlusion in the object tracking, an object tracking method based on illumination compensation was proposed. An illumination compensation method based on Retinex was applied to the sequence images, a structural appearance model and template matching were used to track the object. Dense sampling was used to obtain candidates, extended least median square was used to match templates, and a step by step template updating method is applied. The experimental results demonstrate the effect of the proposed method.

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Zhu, Bin, Fang Yuan, and Yu Wang. "Keyword Aggregate Query Based on Query Template." Advanced Materials Research 756-759 (September 2013): 932–39. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.932.

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For keywords query, we propose a keyword aggregate query method based on query template. During the keywords processing, symbol table is used to locate the position of the keywords in the database to get a series of query items. In the query template generating stage, we design a heuristic query template generation algorithm. We use the improved scoring rules to rate the query templates, and select the optimal query template. The experimental results have shown that the aggregate query method is effective.

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Chen, Hai Xiu, and Xiao Yu Ding. "Research on License Plate Recognition Based on Template Matching Method." Applied Mechanics and Materials 668-669 (October 2014): 1106–9. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1106.

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With the rapid development of transportation, more application of computer, communication and intelligent detection technology appeared in transportation field. The license plate recognition system based on template matching is researched in this paper. The preprocessing to the image such as binarization, tilt compensation and edge extraction has been finished, and then the positioning and segmentation of image are realized. After the normalization to the image, the license plate recognition result based on template matching method is obtained through experiments.

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Jiao, Jichao, Xin Wang, Zhongliang Deng, Jichang Cao, and Weihua Tang. "A fast template matching algorithm based on principal orientation difference." International Journal of Advanced Robotic Systems 15, no. 3 (May 1, 2018): 172988141877822. http://dx.doi.org/10.1177/1729881418778223.

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In the case that the background scene is dense map regularization complex and the detected objects are low texture, the method of matching according to the feature points is not applicable. Usually, the template matching method is used. When training samples are insufficient, the template matching method gets a worse detection result. In order to resolve the problem stably in real time, we propose a fast template matching algorithm based on the principal orientation difference feature. The algorithm firstly obtains the edge direction information by comparing the images that are binary. Then, the template area is divided where the different features are extracted. Finally, the matching positions are searched around the template. Experiments on the videos whose speed is 30 frames/s show that our algorithm detects the low-texture objects in real time with a matching rate of 95%. Compared with other state-of-art methods, our proposed method reduces the training samples significantly and is more robust to the illumination changes.

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Zhao, Dongdong, Shu Fang, Jianwen Xiang, Jing Tian, and Shengwu Xiong. "Iris Template Protection Based on Local Ranking." Security and Communication Networks 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/4519548.

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Biometrics have been widely studied in recent years, and they are increasingly employed in real-world applications. Meanwhile, a number of potential threats to the privacy of biometric data arise. Iris template protection demands that the privacy of iris data should be protected when performing iris recognition. According to the international standard ISO/IEC 24745, iris template protection should satisfy the irreversibility, revocability, and unlinkability. However, existing works about iris template protection demonstrate that it is difficult to satisfy the three privacy requirements simultaneously while supporting effective iris recognition. In this paper, we propose an iris template protection method based on local ranking. Specifically, the iris data are first XORed (Exclusive OR operation) with an application-specific string; next, we divide the results into blocks and then partition the blocks into groups. The blocks in each group are ranked according to their decimal values, and original blocks are transformed to their rank values for storage. We also extend the basic method to support the shifting strategy and masking strategy, which are two important strategies for iris recognition. We demonstrate that the proposed method satisfies the irreversibility, revocability, and unlinkability. Experimental results on typical iris datasets (i.e., CASIA-IrisV3-Interval, CASIA-IrisV4-Lamp, UBIRIS-V1-S1, and MMU-V1) show that the proposed method could maintain the recognition performance while protecting the privacy of iris data.

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Yao, Yi Yong, and Li Ping Zhao. "A Method for Designing OLED Unit Template-Based Customization Technology." Key Engineering Materials 474-476 (April 2011): 1168–72. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1168.

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Aiming at the hierarchical and modularization characteristics of OLED (Organic Light Emitting Display) unit, based on the analysis of electric, optics, and structure combination process of OLED unit template, the OLED unit customization and combination method based on template customization technology was proposed for the geometric features, process features and joint features of three-dimensional microstructures. Consequently, the typical OLED unit three-dimensional microstructure and OLED unit customization platform were constructed to provide an approach for the design and manufacturing of OLED unit.

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Wang, Tao, Xin Chen, Chang Tan, and Hao Fu. "Localization of Substation Fittings Based on a Stereo Vision Method." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 6 (October 20, 2018): 861–68. http://dx.doi.org/10.20965/jaciii.2018.p0861.

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We propose a novel stereo vision method based on a fast template matching strategy to improve localization accuracy and efficiency of substation fittings. First, considering the salient features of the substation fittings that can be recognized easily, the method searches for features that are similar to the ones in the matching template related to the sub-image of the substation fittings from the global image. When the substation fittings are confirmed, the method repeatedly searches for the one of screw holes in the local region of the substation fittings. It then computes the centering coordinates of the template in the source images until the screw holes are matched. The experimental results show that the proposed template matching method increases the accuracy and efficiency of the substation fitting localization from the global to local search area. Correspondingly, the accuracy and efficiency of stereo vision localization of substation fittings is improved.

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Zhang, Yin E. "Research of an Improved Snail Image Recognition Method Based on Grayscale Template Matching." Applied Mechanics and Materials 433-435 (October 2013): 700–704. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.700.

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As the lack in the accuracy and speed of the template matching algorithm for the snail image in the complex environment, the snail source image and the template image have the appropriate scaling in order to improve their sizes in the traditional algorithm. The new algorithm avoids the very big and accurate characteristics about the snail images through shrinking the source images down. The grayscale template matching method is put forward based on the traditional template selection set to prevent that the error caused by human factors on the selected template, the redundancy between the templates is removed in a large extent, further the accuracy of the matching is improved, and the matching time is reduced greatly in the case of matching accuracy guarantee.

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Tavakol, Ali, and Mohammad Soltanian. "Fast Feature-Based Template Matching, Based on Efficient Keypoint Extraction." Advanced Materials Research 341-342 (September 2011): 798–802. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.798.

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In order to improve the performance of feature-based template matching techniques, several research papers have been published. Real-time applications require the computational complexity of keypoint matching algorithms to be as low as possible. In this paper, we propose a method to improve the keypoint detection stage of feature-based template matching algorithms. Our experiment results show that the proposed method outperforms keypoint matching techniques in terms of speed, keypoint stability and repeatability.

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Liu, Xiaohang, Qin Chen, Longlong Li, and Shuiming Chi. "An Efficient Web Vulnerability Scanning Method Based on Template Matching." Information Technology Journal 13, no. 5 (February 15, 2014): 934–40. http://dx.doi.org/10.3923/itj.2014.934.940.

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Wang Ying, Hou Feng-Zhen, Dai Jia-Fei, Liu Xin-Feng, Li Jin, and Wang Jun. "Transfer entropy analysis of electroencephalogram based on adaptive template method." Acta Physica Sinica 64, no. 8 (2015): 088701. http://dx.doi.org/10.7498/aps.64.088701.

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Taylor, W. "A template based method of pattern matching in protein sequences." Progress in Biophysics and Molecular Biology 54, no. 3 (1989): 159–252. http://dx.doi.org/10.1016/0079-6107(89)90011-4.

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Ramaswamy, Krishnan. "Dynamic template-based method for three-dimensional virtual-endoscopic exploration." Optical Engineering 38, no. 12 (December 1, 1999): 2162. http://dx.doi.org/10.1117/1.602325.

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Siani, Michael A., David Weininger, Craig A. James, and Jeffrey M. Blaney. "CHORTLES: A Method for Representing Oligomeric and Template-Based Mixtures." Journal of Chemical Information and Modeling 35, no. 6 (November 1, 1995): 1026–33. http://dx.doi.org/10.1021/ci00028a012.

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Ye, Qian, Nian Cai, Jiaming Li, Feiyang Li, Han Wang, and Xindu Chen. "IC Solder Joint Inspection Based on an Adaptive-Template Method." IEEE Transactions on Components, Packaging and Manufacturing Technology 8, no. 6 (June 2018): 1121–27. http://dx.doi.org/10.1109/tcpmt.2018.2812815.

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Yanling, Zhang, Cheng Xixi, Qiao Lu, and Cui Pengfei. "A new fast corner detection method based on template matching." IOP Conference Series: Materials Science and Engineering 563 (August 9, 2019): 052093. http://dx.doi.org/10.1088/1757-899x/563/5/052093.

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Yin Qingyan, 殷清燕, 车露美 Che Lumei, 韩占锁 Han Zhansuo, 周亚西 Zhou Yaxi, and 罗蓓蓓 Luo Beibei. "Template Matching-Based Method for Identifying Substances in Terahertz Spectrum." Laser & Optoelectronics Progress 57, no. 10 (2020): 101506. http://dx.doi.org/10.3788/lop57.101506.

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严, 金承. "A Web Page Cleaning Method Based on Template and SVM." Computer Science and Application 10, no. 01 (2020): 51–59. http://dx.doi.org/10.12677/csa.2020.101007.

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Hulteen, John C., and Charles R. Martin. "A general template-based method for the preparation of nanomaterials." Journal of Materials Chemistry 7, no. 7 (1997): 1075–87. http://dx.doi.org/10.1039/a700027h.

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Wang, Ru, Anand Balu Nellippallil, Guoxin Wang, Yan Yan, Janet K. Allen, and Farrokh Mistree. "Systematic design space exploration using a template-based ontological method." Advanced Engineering Informatics 36 (April 2018): 163–77. http://dx.doi.org/10.1016/j.aei.2018.03.006.

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Qiao, Biyun, Qun Sun, and Hongyuan He. "A crowdsourcing method for 3D furniture based on parameterized template." Journal of Physics: Conference Series 1952, no. 3 (June 1, 2021): 032029. http://dx.doi.org/10.1088/1742-6596/1952/3/032029.

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Yu, Shibing, Zhen Jiang, Meihe Wang, Zhengze Li, and Xinli Xu. "A fast robust template matching method based on feature points." International Journal of Modelling, Identification and Control 35, no. 4 (2020): 346. http://dx.doi.org/10.1504/ijmic.2020.114794.

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Li, Zhengze, Xinli Xu, Zhen Jiang, Meihe Wang, and Shibing Yu. "A fast robust template matching method based on feature points." International Journal of Modelling, Identification and Control 35, no. 4 (2020): 346. http://dx.doi.org/10.1504/ijmic.2020.10037529.

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Krieger, Spencer, and John Kececioglu. "Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization." Bioinformatics 36, Supplement_1 (July 1, 2020): i317—i325. http://dx.doi.org/10.1093/bioinformatics/btaa336.

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Abstract:

Abstract Motivation Protein secondary structure prediction is a fundamental precursor to many bioinformatics tasks. Nearly all state-of-the-art tools when computing their secondary structure prediction do not explicitly leverage the vast number of proteins whose structure is known. Leveraging this additional information in a so-called template-based method has the potential to significantly boost prediction accuracy. Method We present a new hybrid approach to secondary structure prediction that gains the advantages of both template- and non-template-based methods. Our core template-based method is an algorithmic approach that uses metric-space nearest neighbor search over a template database of fixed-length amino acid words to determine estimated class-membership probabilities for each residue in the protein. These probabilities are then input to a dynamic programming algorithm that finds a physically valid maximum-likelihood prediction for the entire protein. Our hybrid approach exploits a novel accuracy estimator for our core method, which estimates the unknown true accuracy of its prediction, to discern when to switch between template- and non-template-based methods. Results On challenging CASP benchmarks, the resulting hybrid approach boosts the state-of-the-art Q8 accuracy by more than 2–10%, and Q3 accuracy by more than 1–3%, yielding the most accurate method currently available for both 3- and 8-state secondary structure prediction. Availability and implementation A preliminary implementation in a new tool we call Nnessy is available free for non-commercial use at http://nnessy.cs.arizona.edu.

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Lu, Chang Ming, Shu Zheng, Wei Jin, Yan Fa Sheng, and Yi Sun. "Template-Based Expression and Reuse of Design Knowledge." Advanced Materials Research 328-330 (September 2011): 274–78. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.274.

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Reuse of existing design knowledge is the key to realize rapid product design. Analysis of present knowledge capture, representation and reuse method as well as study of static and dynamic knowledge capture method, the design template as a carrier for knowledge expression and reuse method is proposed. A typical instance for small agricultural machinery product is given to demonstrate the feasibility of the design approach.

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