Academic literature on the topic 'Projection extraction'

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Journal articles on the topic "Projection extraction"

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ZHAO, JIAN, and JIAN AN. "AN ITERATIVE CONVEX HULL APPROACH FOR IMAGE SEGMENTATION AND CONTOUR EXTRACTION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 07 (2012): 1255013. http://dx.doi.org/10.1142/s0218001412550130.

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The contours and segments of objects in digital images have many important applications. Contour extractions of gray images can be converted into contour extractions of binary images. This paper presents a novel contour-extraction algorithm for binary images and provides a deduction theory for this algorithm. First, we discuss the method used to construct convex hulls of regions of objects. The contour of an object evolves from a convex polygon until the exact boundary is obtained. Second, the projection methods from lines to objects are studied, in which, a polygon iteration method is present
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Giannella, Chris R., Ransom K. Winder, and Joseph P. Jubinski. "Annotation projection for temporal information extraction." Natural Language Engineering 25, no. 3 (2019): 385–403. http://dx.doi.org/10.1017/s1351324919000044.

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AbstractApproaches to building temporal information extraction systems typically rely on large, manually annotated corpora. Thus, porting these systems to new languages requires acquiring large corpora of manually annotated documents in the new languages. Acquiring such corpora is difficult owing to the complexity of temporal information extraction annotation. One strategy for addressing this difficulty is to reduce or eliminate the need for manually annotated corpora through annotation projection. This technique utilizes a temporal information extraction system for a source language (typicall
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Yi, Huangjian, Xu Zhang, Jinye Peng, et al. "Reconstruction for Limited-Projection Fluorescence Molecular Tomography Based on a Double-Mesh Strategy." BioMed Research International 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5682851.

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Limited-projection fluorescence molecular tomography (FMT) has short data acquisition time that allows fast resolving of the three-dimensional visualization of fluorophore within small animal in vivo. However, limited-projection FMT reconstruction suffers from severe ill-posedness because only limited projections are used for reconstruction. To alleviate the ill-posedness, a feasible region extraction strategy based on a double mesh is presented for limited-projection FMT. First, an initial result is rapidly recovered using a coarse discretization mesh. Then, the reconstructed fluorophore area
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Li, Bo, Jing Du, and Xiao-Ping Zhang. "Feature extraction using maximum nonparametric margin projection." Neurocomputing 188 (May 2016): 225–32. http://dx.doi.org/10.1016/j.neucom.2014.11.105.

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Hainaut, Donatien, and Michel Denuit. "WAVELET-BASED FEATURE EXTRACTION FOR MORTALITY PROJECTION." ASTIN Bulletin 50, no. 3 (2020): 675–707. http://dx.doi.org/10.1017/asb.2020.18.

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AbstractWavelet theory is known to be a powerful tool for compressing and processing time series or images. It consists in projecting a signal on an orthonormal basis of functions that are chosen in order to provide a sparse representation of the data. The first part of this article focuses on smoothing mortality curves by wavelets shrinkage. A chi-square test and a penalized likelihood approach are applied to determine the optimal degree of smoothing. The second part of this article is devoted to mortality forecasting. Wavelet coefficients exhibit clear trends for the Belgian population from
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Xu, Jie, and Shengli Xie. "Recursive locality preserving projection for feature extraction." Soft Computing 20, no. 10 (2015): 4099–109. http://dx.doi.org/10.1007/s00500-015-1745-y.

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Yuan, Sen, Xia Mao, and Lijiang Chen. "Sparsity Regularization Discriminant Projection for Feature Extraction." Neural Processing Letters 49, no. 2 (2018): 539–53. http://dx.doi.org/10.1007/s11063-018-9842-4.

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Li, Guo Ping, and Zhao Yan. "The Method of Character Recognition Based on Projection Transformation Combined with LS-SVM." Advanced Materials Research 468-471 (February 2012): 3050–55. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.3050.

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A method of character feature extraction based on circular projection transformation is proposed. First, it transforms the Cartesian coordinates into polar coordinates using the centroid of character image as the pole. It makes circular projection calculation and generates character feature vector by transforming 2-D character image into 1-D projection curves. Based on circular projection transformation feature extraction, the least squares support vector machine (LS-SVM) is introduced into the small character set embossed concave-convex character recognition.It adopted LS-SVM training softwar
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Liu, Xiao-Zhang, and Guan Yang. "Block-Wise Two-Dimensional Maximum Margin Criterion for Face Recognition." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/875090.

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Maximum margin criterion (MMC) is a well-known method for feature extraction and dimensionality reduction. However, MMC is based on vector data and fails to exploit local characteristics of image data. In this paper, we propose a two-dimensional generalized framework based on a block-wise approach for MMC, to deal with matrix representation data, that is, images. The proposed method, namely, block-wise two-dimensional maximum margin criterion (B2D-MMC), aims to find local subspace projections using unilateral matrix multiplication in each block set, such that in the subspace a block is close t
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YANG, JIAN, JING-YU YANG, ALEJANDRO F. FRANGI, and DAVID ZHANG. "UNCORRELATED PROJECTION DISCRIMINANT ANALYSIS AND ITS APPLICATION TO FACE IMAGE FEATURE EXTRACTION." International Journal of Pattern Recognition and Artificial Intelligence 17, no. 08 (2003): 1325–47. http://dx.doi.org/10.1142/s0218001403002903.

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In this paper, a novel image projection analysis method (UIPDA) is first developed for image feature extraction. In contrast to Liu's projection discriminant method, UIPDA has the desirable property that the projected feature vectors are mutually uncorrelated. Also, a new LDA technique called EULDA is presented for further feature extraction. The proposed methods are tested on the ORL and the NUST603 face databases. The experimental results demonstrate that: (i) UIPDA is superior to Liu's projection discriminant method and more efficient than Eigenfaces and Fisherfaces; (ii) EULDA outperforms
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Dissertations / Theses on the topic "Projection extraction"

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Martinez, Eduardo Rodriguez. "Evolutionary induction of projection maps for feature extraction." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569587.

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This thesis proposes an evolutionary scheme for automatic design of feature extraction methods, tailored to a given classification problem. The main advantage of the proposed scheme is its capacity to formulate new models when the exiR.tmg'ones do not fit the .. ' problem at hand. The learning phase is expressed as a model selection problem, where the best performing model is selected among the genetic pool, assessed by an estimation of out-of-sample generalization error. Each individual in the genetic pool represents a potential model encoded into a hybrid genotype, specifically designed to h
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Weingessel, Andreas, Martin Natter, and Kurt Hornik. "Using independent component analysis for feature extraction and multivariate data projection." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/1424/1/document.pdf.

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Deriving low-dimensional perceptual spaces from data consisting of many variables is of crucial interest in strategic market planning. A frequently used method in this context is Principal Components Analysis, which finds uncorrelated directions in the data. This methodology which supports the identification of competitive structures can gainfully be utilized for product (re)positioning or optimal product (re)design. In our paper, we investigate the usefulness of a novel technique, Independent Component Analysis, to discover market structures. Independent Component Analysis is an extension of
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Herrmann, Carmen. "Projection techniques for complexity reduction and information extraction in correlated quantum systems /." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16952.

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Rutledge, Glen A. "Dictionary projection pursuit, a wavelet packet technique for acoustic spectral feature extraction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0008/NQ52770.pdf.

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Onak, Onder Nazim. "Comparison Of Ocr Algorithms Using Fourier And Wavelet Based Feature Extraction." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612928/index.pdf.

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A lot of research have been carried in the field of optical character recognition. Selection of a feature extraction scheme is probably the most important factor in achieving high recognition performance. Fourier and wavelet transforms are among the popular feature extraction techniques allowing rotation invariant recognition. The performance of a particular feature extraction technique depends on the used dataset and the classifier. Dierent feature types may need dierent types of classifiers. In this thesis Fourier and wavelet based features are compared in terms of classification accuracy. T
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Nilsson, Jim, and Peter Valtersson. "Machine Vision Inspection of the Lapping Process in the Production of Mass Impregnated High Voltage Cables." Thesis, Blekinge Tekniska Högskola, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16707.

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Background. Mass impregnated high voltage cables are used in, for example, submarine electric power transmission. One of the production steps of such cables is the lapping process in which several hundred layers of special purpose paper are wrapped around the conductor of the cable. It is important for the mechanical and electrical properties of the finished cable that the paper is applied correctly, however there currently exists no reliable way of continuously ensuring that the paper is applied correctly. Objective. The objective of this thesis is to develop a prototype of a cost-effective m
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Alencar, Aretha Barbosa. "Visualização da evolução temporal de coleções de artigos científicos." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-11042013-155653/.

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Artigos científicos são o principal mecanismo que pesquisadores usam para reportar suas descobertas científicas, e uma coleção de artigos em uma área de pesquisa pode revelar muito sobre sua evolução ao longo do tempo, como a emergência de novos tópicos e a evolução dos mesmos quanto ao seu conteúdo. No entanto, dada uma ampla coleção de artigos é geralmente muito difícil extrair informações importantes que possam ajudar leitores a interpretar globalmente, navegar e então eventualmente focar em itens relevantes para sua tarefa. Mapas de documentos baseados em conteúdo são representações visuai
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Piffet, Loïc. "Décomposition d’image par modèles variationnels : débruitage et extraction de texture." Thesis, Orléans, 2010. http://www.theses.fr/2010ORLE2053/document.

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Cette thèse est consacrée dans un premier temps à l’élaboration d’un modèle variationnel dedébruitage d’ordre deux, faisant intervenir l’espace BV 2 des fonctions à hessien borné. Nous nous inspirons ici directement du célèbre modèle de Rudin, Osher et Fatemi (ROF), remplaçant la minimisation de la variation totale de la fonction par la minimisation de la variation totale seconde, c’est à dire la variation totale de ses dérivées. Le but est ici d’obtenir un modèle aussi performant que le modèle ROF, permettant de plus de résoudre le problème de l’effet staircasing que celui-ci engendre. Le mod
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Breutel, Stephan Werner. "Analysing the behaviour of neural networks." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15943/.

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A new method is developed to determine a set of informative and refined interface assertions satisfied by functions that are represented by feed-forward neural networks. Neural networks have often been criticized for their low degree of comprehensibility.It is difficult to have confidence in software components if they have no clear and valid interface description. Precise and understandable interface assertions for a neural network based software component are required for safety critical applications and for theintegration into larger software systems. The interface assertions we are con
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NEDELJKOVIC, SONJA R. "PARAMETER EXTRACTION AND DEVICE PHYSICS PROJECTIONS ON LATERAL LOW VOLTAGE POWER MOSFET CONFIGURATIONS." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1005163403.

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Books on the topic "Projection extraction"

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Markowitz, Jonathan N. Perils of Plenty. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190078249.001.0001.

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Why do some states project military force to seek control of resources, while others do not? Conventional wisdom asserts that resource-scarce states have the strongest interest in securing control over resources. Counterintuitively, this book finds that, under certain conditions, the opposite is true. Perils of Plenty argues that what states make influences what they want to take. Specifically, the more economically dependent states are on extracting income from resource rents, the stronger their preferences to secure control over resources will be. This theory is tested with a set of case stu
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Book chapters on the topic "Projection extraction"

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Breaban, Mihaela Elena. "Multiobjective Projection Pursuit for Semisupervised Feature Extraction." In Applications of Evolutionary Computation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37192-9_33.

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Li, Jun-Bao, Shu-Chuan Chu, and Jeng-Shyang Pan. "Locally Discriminant Projection with Kernels for Feature Extraction." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73871-8_56.

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Guan, Zhen-yu, Jie Li, and Huan Yang. "Runway Extraction Method Based on Rotating Projection for UAV." In Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-145-1_30.

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Rodrigues, Roberto J., Gizelle K. Vianna, and Antonio C. G. Thomé. "Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)." In Bio-Inspired Applications of Connectionism. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45723-2_83.

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Kwon, Yong-Il, Ho-Hyun Park, Jixue Liu, and Mario A. Nascimento. "Radial Projection: A Feature Extraction Method for Topographical Shapes." In Advances in Multimedia Information Processing - PCM 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11581772_51.

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Sorokin, Dmitry V., Maxim M. Mizotin, and Andrey S. Krylov. "Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21593-3_29.

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Santa Cruz, C., and J. Dorronsoro. "A nonlinear discriminant algorithm for data projection and feature extraction." In Artificial Neural Networks — ICANN 96. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61510-5_96.

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Feng, Linhui, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, and Dongsheng Li. "Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction." In Knowledge Science, Engineering and Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82147-0_7.

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Huang, Hui-Yu, and Yan-Ching Lin. "An Approach for Mouth Localization Using Face Feature Extraction and Projection Technique." In Advances in Intelligent Systems and Applications - Volume 2. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35473-1_25.

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Tang, Yu, Zhao Zhang, and Weiming Jiang. "Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition." In Neural Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46681-1_61.

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Conference papers on the topic "Projection extraction"

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Lan, Rushi, Jianwei Yang, Yong Jiang, and Xiaoxia Feng. "Feature extraction using extended central projection." In 2012 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2012. http://dx.doi.org/10.1109/icwapr.2012.6294802.

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Zhonglong Zheng, Chenmao Xie, and Jiong Jia. "ISO-Container Projection for feature extraction." In 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ispacs.2010.5704690.

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He, Mingyi, and Shaohui Mei. "Dimension Reduction by Random Projection for Endmember Extraction." In 2010 5th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2010. http://dx.doi.org/10.1109/iciea.2010.5516724.

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Faruqui, Manaal, and Shankar Kumar. "Multilingual Open Relation Extraction Using Cross-lingual Projection." In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1151.

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Jing, Xiaoyuan, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, and Jiasen Lu. "Supervised local sparsity preserving projection for face feature extraction." In 2011 First Asian Conference on Pattern Recognition (ACPR 2011). IEEE, 2011. http://dx.doi.org/10.1109/acpr.2011.6166662.

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Li, G. P., H. G. Liu, and CH SH Ai. "Feature extraction of label character based on projection transformation." In 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcica.2010.5554756.

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Kezheng, Lin, Wang Huixin, and Lin Sheng. "Face Feature Extraction Based on Uncorrelated Locality Information Projection." In 2008 International Conference on Computational Intelligence and Security (CIS). IEEE, 2008. http://dx.doi.org/10.1109/cis.2008.154.

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Youngsung Kim and Kar-Ann Toh. "Sparse random projection for efficient cancelable face feature extraction." In 2008 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2008. http://dx.doi.org/10.1109/iciea.2008.4582897.

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Jiun-Lin Chen and Hsi-Jian Lee. "A novel form structure extraction method using strip projection." In Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.547283.

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Sun, Yu-jie, Yang Li, and Huan Yang. "Runway extraction method based on rotating projection for UAV." In 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2016. http://dx.doi.org/10.1109/iciea.2016.7603621.

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Reports on the topic "Projection extraction"

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Bollen, Georg, and David Morrissey. Development of a fast cyclotron gas stopper for intense rare isotope beams from projectile fragmentation: Study of ion extraction with a radiofrequency carpet. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1083431.

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