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Relevant bibliographies by topics / Constraint-based reconstruction and analysis

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Academic literature on the topic 'Constraint-based reconstruction and analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Constraint-based reconstruction and analysis"

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Yan, Gao, and Jian Zhong Xu. "Motion Path Editing Based on Constraint Detection." Advanced Materials Research 433-440 (January 2012): 3780–86. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3780.

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This paper introduces a method for interactive direct manipulation of motion capture animation, which allows a user to alter positional properties of a motion and preserves the motions’ quality. The algorithm contains three stages: motion analysis, motion path editing, and constraint reconstruction. Our experiments show that by using the algorithm human motion can be transformed successfully from the old path to the new path.

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Baldini, Federico, Almut Heinken, Laurent Heirendt, Stefania Magnusdottir, Ronan M. T. Fleming, and Ines Thiele. "The Microbiome Modeling Toolbox: from microbial interactions to personalized microbial communities." Bioinformatics 35, no. 13 (2018): 2332–34. http://dx.doi.org/10.1093/bioinformatics/bty941.

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Abstract Motivation The application of constraint-based modeling to functionally analyze metagenomic data has been limited so far, partially due to the absence of suitable toolboxes. Results To address this gap, we created a comprehensive toolbox to model (i) microbe–microbe and host–microbe metabolic interactions, and (ii) microbial communities using microbial genome-scale metabolic reconstructions and metagenomic data. The Microbiome Modeling Toolbox extends the functionality of the constraint-based reconstruction and analysis toolbox. Availability and implementation The Microbiome Modeling

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Ruppin, Eytan, Jason A. Papin, Luis F. de Figueiredo, and Stefan Schuster. "Metabolic reconstruction, constraint-based analysis and game theory to probe genome-scale metabolic networks." Current Opinion in Biotechnology 21, no. 4 (2010): 502–10. http://dx.doi.org/10.1016/j.copbio.2010.07.002.

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Guo, Jipeng, Yanfeng Sun, Junbin Gao, Yongli Hu, and Baocai Yin. "Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint." ACM Transactions on Knowledge Discovery from Data 14, no. 6 (2020): 1–20. http://dx.doi.org/10.1145/3409478.

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Sharma, Mahesh, Naeem Shaikh, Shailendra Yadav, Sushma Singh, and Prabha Garg. "A systematic reconstruction and constraint-based analysis of Leishmania donovani metabolic network: identification of potential antileishmanial drug targets." Molecular BioSystems 13, no. 5 (2017): 955–69. http://dx.doi.org/10.1039/c6mb00823b.

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Brooks, J. Paul, William P. Burns, Stephen S. Fong, Chris M. Gowen, and Seth B. Roberts. "Gap Detection for Genome-Scale Constraint-Based Models." Advances in Bioinformatics 2012 (September 10, 2012): 1–10. http://dx.doi.org/10.1155/2012/323472.

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Constraint-based metabolic models are currently the most comprehensive system-wide models of cellular metabolism. Several challenges arise when building an in silico constraint-based model of an organism that need to be addressed before flux balance analysis (FBA) can be applied for simulations. An algorithm called FBA-Gap is presented here that aids the construction of a working model based on plausible modifications to a given list of reactions that are known to occur in the organism. When applied to a working model, the algorithm gives a hypothesis concerning a minimal medium for sustaining

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Bi, Xue, Lu Leng, Cheonshik Kim, Xinwen Liu, Yajun Du, and Feng Liu. "Constrained Backtracking Matching Pursuit Algorithm for Image Reconstruction in Compressed Sensing." Applied Sciences 11, no. 4 (2021): 1435. http://dx.doi.org/10.3390/app11041435.

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Image reconstruction based on sparse constraints is an important research topic in compressed sensing. Sparsity adaptive matching pursuit (SAMP) is a greedy pursuit reconstruction algorithm, which reconstructs signals without prior information of the sparsity level and potentially presents better reconstruction performance than other greedy pursuit algorithms. However, SAMP still suffers from being sensitive to the step size selection at high sub-sampling ratios. To solve this problem, this paper proposes a constrained backtracking matching pursuit (CBMP) algorithm for image reconstruction. Th

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Tan, Xiu Hu. "A Blind Watermarking Method Based on Space Reconstruction." Applied Mechanics and Materials 444-445 (October 2013): 712–16. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.712.

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Watermarking embeds information into a digital signal like audio, image, or video. Reversible image watermarking can restore the original image without any distortion after the hidden data is extracted. In this paper, we propose a blind watermarking method based on space reconstruction. Through calculating the statistical property of the digital image, we are able to separately obtain the feature spaces. Passing spaces decomposing and reconstructing of the feature spaces, constructing the embedding matrix, we obtain that the robustness of the approach lies in hiding a watermark in the subspace

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Zhang, Dong, Yatong Zhou, Hanming Chen, Wei Chen, Shaohuan Zu, and Yangkang Chen. "Hybrid rank-sparsity constraint model for simultaneous reconstruction and denoising of 3D seismic data." GEOPHYSICS 82, no. 5 (2017): V351—V367. http://dx.doi.org/10.1190/geo2016-0557.1.

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We have determined an approach for simultaneous reconstruction and denoising of 3D seismic data with randomly missing traces. The core in simultaneous reconstruction and denoising of 3D seismic data is the choice of constraint method. Recently, there have been two types of popular approaches to choose such a constraint: sparsity-promoting transforms using a sparsity constraint and rank reduction methods using a rank constraint. Although the sparsity-promoting transform enjoys the direct advantage of high efficiency, it lacks adaptivity to a variety of data patterns. On the other hand, the rank

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Orr, Jonah Parker, Ronnie Labib Shammas, Analise B. Thomas, et al. "Bleeding After Free Flap-Based Breast Reconstruction: A NSQIP Analysis." Journal of Reconstructive Microsurgery 35, no. 06 (2019): 417–24. http://dx.doi.org/10.1055/s-0038-1677037.

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Background Despite limited oncologic benefit for women without an increased risk for breast cancer, the rates of contralateral prophylactic mastectomy (CPM) have increased. Patients undergoing CPM are more likely to undergo bilateral and immediate breast reconstruction. This study assessed the relationship between the timing and laterality of free flap-based breast reconstruction and the risk of postoperative bleeding complications. Methods Women undergoing postmastectomy free-flap based breast reconstruction from 2010 to 2015 were identified using the National Surgical Quality Improvement Pro

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Dissertations / Theses on the topic "Constraint-based reconstruction and analysis"

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Gautam, Jyotshana. "Genome-Scale Metabolic Network Reconstruction of Thermotoga sp.Strain RQ7." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1605228158638208.

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Tahiri, Hassani Youssef. "Improving breast reconstruction outcomes: an evidence-based analysis." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103554.

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Background: As breast reconstruction evolves, plastic surgeons continue to find ways to improve their reconstruction' outcomes. The aim of our study is to demonstrate how plastic surgery research impacts and improves current surgical practices. For instance, we designed three clinical studies which illustrate how research can affect current popular surgical practices, not only during the pre-operative period, but also intra-operative and post-operative periods. Methods: In the first study, we performed a meta-analysis to evaluate first the safety and efficacy of Thoracic ParaVertebral Block (T

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Dong, Jing. "Sparse analysis model based dictionary learning and signal reconstruction." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/811095/.

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Sparse representation has been studied extensively in the past decade in a variety of applications, such as denoising, source separation and classification. Earlier effort has been focused on the well-known synthesis model, where a signal is decomposed as a linear combination of a few atoms of a dictionary. However, the analysis model, a counterpart of the synthesis model, has not received much attention until recent years. The analysis model takes a different viewpoint to sparse representation, and it assumes that the product of an analysis dictionary and a signal is sparse. Compared with the

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Nikfetrat, Nima. "Video-based Fire Analysis and Animation Using Eigenfires." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23471.

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We introduce new approaches of modeling and synthesizing realistic-looking 2D fire animations using video-based techniques and statistical analysis. Our approaches are based on real footage of various small-scale fire samples with customized motions that we captured for this research, and the final results can be utilized as a sequence of images in video games, motion graphics and cinematic visual effects. Instead of conventional physically-based simulation, we utilize example-based principal component analysis (PCA) and take it to a new level by introducing “Eigenfires”, as a new way to repre

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Giacalone, Elisabetta. "Graph-based analysis of brain structural connectivity using different diffusion MRI reconstruction techniques." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Il cervello si può definire un network complesso in cui delle regioni sono interconnesse fra loro. L'imaging di risonanza magnetica pesato in diffusione (DWI) insieme alla trattografia, permettono di ricostruire i fasci di fibre assonali di sostanza bianca indagando la connettività strutturale tra le aree di sostanza grigia. Il "connettoma" risultante può essere analizzato e caratterizzato attraverso la graph theory. Il lavoro che ho sviluppato presso l'unità di RM funzionale del Policlinico S. Orsola-Malpighi, e il DIBINEM, Università di Bologna, si propone di ricostruire il connettoma tramit

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Rathore, Aishvarya. "Quality Analysis of UAV based 3D Reconstruction and its Applications in Path Planning." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627658323958222.

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Arca, Turkan. "Analysis of human bone marrow-derived cells on collagen-based biomatrices for tissue reconstruction." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533543.

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Zhao, Yonghui. "Image segmentation and pigment mapping of cultural heritage based on spectral imaging /." Online version of thesis, 2008. http://hdl.handle.net/1850/7050.

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Tsang, John. "An Approximation Algorithm for Character Compatibility and Fast Quartet-based Phylogenetic Tree Comparison." Thesis, University of Waterloo, 2000. http://hdl.handle.net/10012/1110.

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Phylogenetic analysis, or the inference of evolutionary history is done routinely by biologists and is one of the most important problems in systematic biology. In this thesis, we study two computational problems in the area. First, we study the evolutionary tree reconstruction problem under the character compatibility (CC) paradigm and give a polynomial time approximation scheme (PTAS) for a variation of the formulation called fractional character compatibility (FCC), which has been proven to be NP-hard. We also present a very simple algorithm called the Ordinal S

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Tse, Chung Fai Norman. "The development of complex continuous wavelet transform based harmonic analysis and dynamic waveform reconstruction algorithms." Thesis, City University London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446448.

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Books on the topic "Constraint-based reconstruction and analysis"

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Rahimi Tabar, M. Reza. Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18472-8.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg

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1958-, Marshall Stephen, Harvey Neal 1966-, and Shah Druti 1966-, eds. Noblesse Workshop on Non-linear Model Based Image Analysis: Proceedings, NMBIA, 1-3 July 1998, Glasgow. Springer, 1998.

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Network, Uganda Women's, ed. A gender audit of peace, recovery, and development plan (PRDP). Uganda Women's Network, 2010.

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1954-, Nielson Hanne Riis, and Hankin Chris, eds. Principles of program analysis. Springer, 1999.

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Systems Biology: Constraint-Based Reconstruction and Analysis. Cambridge University Press, 2015.

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Tabar, M. Reza Rahimi. Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems: Using the Methods of Stochastic Processes. Springer, 2019.

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Marshall, Stephen, Noblesse Workshop on Non-Linear Model Based Image Analysis, Neal Harvey, and Druti Shah. Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of Nmbia, 1-3 July 1998, Glasgow. Springer-Verlag Telos, 1999.

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Sanders, Donald H. Virtual Reconstruction of Maritime Sites and Artifacts. Edited by Ben Ford, Donny L. Hamilton, and Alexis Catsambis. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199336005.013.0014.

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The integration of virtual reality into archaeological research began in the early 1990s. The use of computer-based methods in maritime archaeology is recent. Before exploring a real-time virtual, a 3D computer model is created from drawings, general sketches, raw dimensions, 3D scanned data, or photographs, or by using simple primitives and “drawing” on the computer. Virtual reality is a simulation of physical reality offering the viewer real-time movement through a true 3D space and interactivity with the objects, which can be further enhanced with 3D sound, lighting, and touch. This article

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Corbeill, Anthony. Clodius’ Contio de haruspicum responsis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198788201.003.0011.

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This chapter has two parts. The first offers an imaginative reconstruction, in English, of a no longer extant contional speech by Publius Clodius Pulcher, delivered prior to Cicero’s own surviving speech De haruspicum responsis (‘On the responses of the haruspices,’ Spring 56 BC). This reconstruction is based on fragments derived from the Ciceronian oration, supplemented by examples of anti-Ciceronian invective drawn from other ancient sources. The second part offers a detailed analysis of the language and rhetoric of the Clodian fragments of the speech, situating each into a hypothetical line

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Book chapters on the topic "Constraint-based reconstruction and analysis"

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Aanæs, Henrik, and Jan Erik Solem. "Overlapping Constraint for Variational Surface Reconstruction." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_56.

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Jiang, Li, Yuan Liu, Dapeng Yang, and Hong Liu. "Analysis of Human Hand Posture Reconstruction Under Constraint and Non-constraint Wrist Position." In Intelligent Robotics and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22879-2_25.

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Ramanathan, Shalini, and Mohan Ramasundaram. "Image Reconstruction Based on Shape Analysis." In Proceedings of International Conference on Big Data, Machine Learning and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4788-5_6.

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Elibol, Armagan, Stefan Posch, Andreas Maurer, Klaus Pillen, and Birgit Möller. "Vision-Based 3D-Reconstruction of Barley Plants." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_48.

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Kistner, Robert L., Bo Eklof, Danian Yang, and Elna M. Masuda. "Venous Reconstruction: Evidence-based Analysis of Results." In Chronic Venous Insufficiency. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0473-5_14.

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Balázs, Péter, and Mihály Gara. "An Evolutionary Approach for Object-Based Image Reconstruction Using Learnt Priors." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_53.

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Terol-Villalobos, Iván R., and Jorge D. Mendiola-Santibañez. "Image Segmentation Based on Transformations with Reconstruction Criteria." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_45.

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Afonso, Manya V., and João M. R. Sanches. "A Total Variation Based Reconstruction Algorithm for 3D Ultrasound." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_17.

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Puppo, Enrico. "Segmentation/reconstruction of range images based on piecewise-linear approximation." In Image Analysis and Processing. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60298-4_283.

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Strazza, Annachiara, Federica Verdini, Alessandro Mengarelli, et al. "Wavelet Analysis-Based Reconstruction for sEMG Signal Denoising." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31635-8_29.

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Conference papers on the topic "Constraint-based reconstruction and analysis"

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Shao, Yuanlong, Xinguo Liu, Xueying Qin, Yi Xu, and Hujun Bao. "Locally Developable Constraint for Document Surface Reconstruction." In 2009 10th International Conference on Document Analysis and Recognition. IEEE, 2009. http://dx.doi.org/10.1109/icdar.2009.57.

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Cocke, W. J. "The Cauchy/Schwarz Inequality As A Constraint In Power Spectrum/Autocorrelation Analysis And Image Reconstruction." In 29th Annual Technical Symposium, edited by Henri H. Arsenault. SPIE, 1985. http://dx.doi.org/10.1117/12.949519.

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Servat, Harald, German Llort, Juan Gonzalez, Judit Gimenez, and Jesus Labarta. "Bio-Inspired Call-Stack Reconstruction for Performance Analysis." In 2016 24th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 2016. http://dx.doi.org/10.1109/pdp.2016.62.

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Cleju, Nicolae, Maria G. Jafari, and Mark D. Plumbley. "Analysis-based sparse reconstruction with synthesis-based solvers." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6289142.

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Bo Wang, Lei Zhu, Kebin Jia, and Jie Zheng. "Accelerated cone beam CT reconstruction based on OpenCL." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476110.

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Dianyong Zhang, Zhenjiang Miao, and Mengsi Wang. "Images based human volumetric model reconstruction and animation." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476128.

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Shoukuai Liu, Jiajun Wang, and Zhigeng Pan. "Three dimensional cartoon reconstruction based on Art rules." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476188.

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Gratadour, D., L. M. Mugnier, and J. M. Conan. "Characterization of PSF reconstruction on a Shack-Hartmann based system." In Adaptive Optics: Methods, Analysis and Applications. OSA, 2005. http://dx.doi.org/10.1364/aopt.2005.athc2.

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GUAN, SHANYUE, and ZHEN ZHU. "UAS-Based 3D Reconstruction Imagery Error Analysis." In Structural Health Monitoring 2019. DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32248.

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Li, Penghui, Luyao Zhou, Hongfei Liu, and Jinbin Wu. "Human Injury Analysis Based on Accident Reconstruction." In 20th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.338.

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Reports on the topic "Constraint-based reconstruction and analysis"

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Bower, G. JAVA based LCD Reconstruction and Analysis Tools. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/839949.

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Saldanha, Ian J., Wangnan Cao, Justin M. Broyles, et al. Breast Reconstruction After Mastectomy: A Systematic Review and Meta-Analysis. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer245.

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Objectives. This systematic review evaluates breast reconstruction options for women after mastectomy for breast cancer (or breast cancer prophylaxis). We addressed six Key Questions (KQs): (1) implant-based reconstruction (IBR) versus autologous reconstruction (AR), (2) timing of IBR and AR in relation to chemotherapy and radiation therapy, (3) comparisons of implant materials, (4) comparisons of anatomic planes for IBR, (5) use versus nonuse of human acellular dermal matrices (ADMs) during IBR, and (6) comparisons of AR flap types. Data sources and review methods. We searched Medline®, Embas

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Hunter, Fraser, and Martin Carruthers. Iron Age Scotland. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.193.

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The main recommendations of the panel report can be summarised under five key headings:  Building blocks: The ultimate aim should be to build rich, detailed and testable narratives situated within a European context, and addressing phenomena from the longue durée to the short-term over international to local scales. Chronological control is essential to this and effective dating strategies are required to enable generation-level analysis. The ‘serendipity factor’ of archaeological work must be enhanced by recognising and getting the most out of information-rich sites as they appear. o There i

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