Relevant bibliographies by topics / Multivariate pattern analyses

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multivariate pattern analyses'

Author: Grafiati
Published: 10 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Multivariate pattern analyses"

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Christophel, Thomas B. "Distributed Visual Working Memory Stores Revealed by Multivariate Pattern Analyses." Journal of Vision 15, no. 12 (2015): 1407. http://dx.doi.org/10.1167/15.12.1407.

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D’Souza, Ninoshka J., Katherine Downing, Gavin Abbott, et al. "A comparison of children’s diet and movement behaviour patterns derived from three unsupervised multivariate methods." PLOS ONE 16, no. 7 (2021): e0255203. http://dx.doi.org/10.1371/journal.pone.0255203.

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Background Behavioural patterns are typically derived using unsupervised multivariate methods such as principal component analysis (PCA), latent profile analysis (LPA) and cluster analysis (CA). Comparability and congruence between the patterns derived from these methods has not been previously investigated, thus it’s unclear whether patterns from studies using different methods are directly comparable. This study aimed to compare behavioural patterns derived across diet, physical activity, sedentary behaviour and sleep domains, using PCA, LPA and CA in a single dataset. Methods Parent-report
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Shinkareva, Svetlana V., Jing Wang, and Douglas H. Wedell. "Examining Similarity Structure: Multidimensional Scaling and Related Approaches in Neuroimaging." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/796183.

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This paper covers similarity analyses, a subset of multivariate pattern analysis techniques that are based on similarity spaces defined by multivariate patterns. These techniques offer several advantages and complement other methods for brain data analyses, as they allow for comparison of representational structure across individuals, brain regions, and data acquisition methods. Particular attention is paid to multidimensional scaling and related approaches that yield spatial representations or provide methods for characterizing individual differences. We highlight unique contributions of thes
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Jang, Yong-ho, Sunghoon Park, Young Uk Park, Kyu-Sung Kwack, Seong Woo Jeon, and Hyun Young Lee. "Multivariate analyses of MRI findings for predicting osteomyelitis of the foot in diabetic patients." Acta Radiologica 61, no. 9 (2020): 1205–12. http://dx.doi.org/10.1177/0284185119897351.

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Background There have been no previous magnetic resonance imaging (MRI) studies using multivariable analysis to diagnose osteomyelitis in patients with diabetic foot. Purpose To retrospectively investigate the MRI findings of osteomyelitis in patients with diabetic foot using multivariate analyses. Material and Methods From November 2015 to March 2018, 118 patients who underwent MRI of the foot to evaluate suspected osteomyelitis were included in this study. The patients were categorized into the presence or absence of osteomyelitis. The primary and secondary MRI findings were retrospectively
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Zafar, Raheel, Nidal Kamel, Mohamad Naufal, et al. "Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network." Journal of Integrative Neuroscience 16, no. 3 (2018): 275–89. http://dx.doi.org/10.3233/jin-170016.

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Ninness, Chris, Marilyn Rumph, Logan Clary, et al. "Neural Network and Multivariate Analyses: Pattern Recognition in Academic and Social Research." Behavior and Social Issues 22, no. 1 (2013): 49–63. http://dx.doi.org/10.5210/bsi.v22i0.4450.

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Rouger, J., I. Charest, F. De Martino, E. Formisano, and P. Belin. "Multivariate pattern analyses of functional MR imaging of the voice neural network." NeuroImage 47 (July 2009): S101. http://dx.doi.org/10.1016/s1053-8119(09)70873-0.

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Nieto-Castanon, Alfonso. "Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)." PLOS Computational Biology 18, no. 11 (2022): e1010634. http://dx.doi.org/10.1371/journal.pcbi.1010634.

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Current functional Magnetic Resonance Imaging technology is able to resolve billions of individual functional connections characterizing the human connectome. Classical statistical inferential procedures attempting to make valid inferences across this many measures from a reduced set of observations and from a limited number of subjects can be severely underpowered for any but the largest effect sizes. This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel method using multivariate pattern analysis techniques in the context of brain-wide connectome i
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O'Toole, Alice J., Fang Jiang, Hervé Abdi, Nils Pénard, Joseph P. Dunlop, and Marc A. Parent. "Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data." Journal of Cognitive Neuroscience 19, no. 11 (2007): 1735–52. http://dx.doi.org/10.1162/jocn.2007.19.11.1735.

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The goal of pattern-based classification of functional neuroimaging data is to link individual brain activation patterns to the experimental conditions experienced during the scans. These “brain-reading” analyses advance functional neuroimaging on three fronts. From a technical standpoint, pattern-based classifiers overcome fatal f laws in the status quo inferential and exploratory multivariate approaches by combining pattern-based analyses with a direct link to experimental variables. In theoretical terms, the results that emerge from pattern-based classifiers can offer insight into the natur
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Bookwala, Jamila, Irene H. Frieze, Christine Smith, and Kathryn Ryan. "Predictors of Dating Violence: A Multivariate Analysis." Violence and Victims 7, no. 4 (1992): 297–311. http://dx.doi.org/10.1891/0886-6708.7.4.297.

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A multivariate approach was used to determine the pattern of predictors associated with engaging in dating violence. Predictors were selected whose relationship to dating violence has been established by earlier research: attitudes toward violence, sex-role attitudes, romantic jealousy, general levels of interpersonal aggression, verbal aggression, and verbal and physical aggression received from one’s partner. Participants included 305 introductory psychology student volunteers (227 females and 78 males) who completed a set of scales related to dating relationships. Expecting different patter
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Dissertations / Theses on the topic "Multivariate pattern analyses"

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Wang, Qi. "Multivariate group analyses for functional neuroimaging : conceptual and experimental advances." Thesis, Ecole centrale de Marseille, 2020. http://www.theses.fr/2020ECDM0002.

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Dans les expériences de neuroimagerie fonctionnelle, les participants effectuent un ensemble de tâches pendant que leur activité cérébrale est enregistrée, par exemple en utilisant l’électroencéphalographie (EEG), la magnétoencéphalographie (MEG) ou l'imagerie par résonance magnétique fonctionnelle (fMRI). L'analyse des données d'un groupe de participants, souvent appelée analyse de groupe, vise à identifier des invariants de population qui se rapportent aux tâches accomplies par les participants. Ceci permet de comprendre l'organisation fonctionnelle du cerveau chez les sujets sains et ses dy
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Bauman, David. "Analyses spatialement explicites des mécanismes de structuration des communautés d'arbres." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/276814.

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La compréhension des processus écologiques qui sous-tendent l’assemblage des communautés végétales et la coexistence des espèces est un objectif central en écologie. Ces processus sont potentiellement nombreux et de natures contrastées. Ainsi, la composition d’une communauté de plantes dépend de processus déterministes liés aux conditions environnementales abiotiques (climat, conditions physiques et chimiques du sol, lumière) et d’interactions biotiques complexes, positives (facilitation, symbioses) comme négatives (compétition, prédation, pathogènes). En outre, les communautés sont influencée
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Hatem, Iyad. "Hybrid multivariate classification technique and its application in tissue image analysis /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3091929.

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Minnen, David. "Unsupervised discovery of activity primitives from multivariate sensor data." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24623.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Thad Starner; Committee Member: Aaron Bobick; Committee Member: Bernt Schiele; Committee Member: Charles Isbell; Committee Member: Irfan Essa
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Handjaras, Giacomo. "Multivariate analyses of neural patterns in the human brain." Thesis, IMT Alti Studi Lucca, 2019. http://e-theses.imtlucca.it/293/1/Handjaras_phdthesis.pdf.

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In the last two decades, neuroscientists have tried to establish the way in which anatomically connected groups of neurons, despite displaying non synchronized neural activity, can work together according to a specific functional architecture. From a methodological perspective, the analysis of such neural organization requires the possibility to measure and integrate the information extracted from large portions of cortex. To this end, recent methodological advancements have prompted the emergence of a new approach, namely multi-voxel pattern analysis (MVPA). Most recent MVPA has also been bre
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Bodle, Eric S. "Multivariate Pattern Recognition of Petroleum-Based Accelerants and Fuels." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1170774468.

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Allen, E. "A multivariate analysis of effectiveness in life assurance salesmen." Thesis, University of Wolverhampton, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374972.

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Lloyd, Gavin Rhys. "Chemometrics and Pattern Recoqnition for the Analysis of Multivariate Datasets." Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520174.

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陳志昌 and Chee-cheong Chan. "Compositional data analysis of voting patterns." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977236.

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Chan, Chee-cheong. "Compositional data analysis of voting patterns." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787160.

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Books on the topic "Multivariate pattern analyses"

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Bartlett, Sheryl Anne. Predictive and posterior distributions for normal multivariate data with missing monotone patterns. University of Toronto, Dept. of Statistics, 1985.

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G, Brereton Richard, ed. Multivariate pattern recognition in chemometrics: Illustrated by case studies. New York, 1992.

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E, Diday, and Brito Paula, eds. Selected contributions in data analysis and classification. Springer, 2007.

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Desikachar, Padmini. Patterns of labour market insecurity in rural India: A multidimensional and multivariate analysis. Madras School of Economics, 2011.

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Bock, Hans-Hermann. Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001. Springer Berlin Heidelberg, 2004.

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I, Broeckaert, ed. Potential pattern recognition in chemical and medical decision making. Research Studies, 1986.

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I, Broeckaert, ed. Potential pattern recognition in chemical and medical decision making. Research Studies Press, 1986.

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International Federation of Classification Societies. Conference. Advances in data science and classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98), Università "La Sapienza", Rome, 21-24 July, 1998. Springer, 1998.

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Hurdle, Sylvia. Factors underlying changes in physician productivity: Deliverable 5C (3) : final productivity report : updating and refinement of the health professions requirement model. Health Economics Research, Inc., 1986.

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LVA/ICA 2010 (2010 Saint-Malo, France). Latent variable analysis and signal separation: 9th international conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010 : proceedings. Springer, 2010.

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Book chapters on the topic "Multivariate pattern analyses"

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Everitt, Brian S., and Graham Dunn. "Discrimination, Classification and Pattern Recognition." In Applied Multivariate Data Analysis. John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118887486.ch11.

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Luciano, Giorgio. "Pattern Recognition." In Statistical and Multivariate Analysis in Material Science. CRC Press, 2021. http://dx.doi.org/10.1201/b21873-5.

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Venables, W. N., and B. D. Ripley. "Multivariate Analysis and Pattern Recognition." In Statistics and Computing. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3121-7_11.

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Peter, Sebastian, Frank Höppner, and Michael R. Berthold. "Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval." In Advances in Intelligent Data Analysis XI. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34156-4_25.

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Fernau, Henning, and Markus L. Schmid. "Pattern Matching with Variables: A Multivariate Complexity Analysis." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38905-4_10.

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Schrouff, Jessica, and Christophe L. M. Phillips. "Multivariate Pattern Recognition Analysis: Brain Decoding." In Coma and Disorders of Consciousness. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2440-5_4.

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Axelson, David E. "Multivariate Statistical Analysis and Pattern Recognition." In Advances in Chemistry. American Chemical Society, 1992. http://dx.doi.org/10.1021/ba-1993-0229.ch012.

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McLachlan, Geoffrey J., and David Peel. "Robust cluster analysis via mixtures of multivariate t-distributions." In Advances in Pattern Recognition. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033290.

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Thioulouse, Jean, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart, and Sandrine Pavoine. "Analysing Patterns of Biodiversity." In Multivariate Analysis of Ecological Data with ade4. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8850-1_14.

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Feng, Cindy X., and Charmaine B. Dean. "Spatial Pattern Analysis of Multivariate Disease Data." In Wiley Series in Probability and Statistics. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118630013.ch15.

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Conference papers on the topic "Multivariate pattern analyses"

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Hughes, David H., and Adam S. Greenberg. "Probabilistic Scaling of Multivariate Pattern Analysis Reveals Cognitive State Dynamics." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980756.

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Rahman, Anika, and Mst Taskia Khatun. "Multivariate Analysis of Urban Air Pollution: Clustering and Patterns Across Major Asian Cities." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00087.

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Reid, S. A., G. P. Quirk, and M. Hadfield. "Computer Aided Corrosion Surveillance Using Electrochemical Noise Techniques." In CORROSION 1999. NACE International, 1999. https://doi.org/10.5006/c1999-99250.

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Abstract Real-time mechanistic analysis of electrochemical noise data is essential for rapid identification of localized corrosion by plant operators. Recent developments towards this goal include: Intelligent Noise Data Reduction techniques to eliminate uninformative data; neural nets which learn how to categorize corrosion mechanisms from data patterns; multivariate analysis which allows the identification of combinations of plant process parameters that cause damage. These techniques can be combined to facilitate pro-active management of the corrosion problem, including consideration of cor
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Tonggiroh, Adi, Ulva Irfan, Baso Rezki Maulana, et al. "Multivariate Analysis of Nickel High Grade at Dunite Boulder Lateritization in Marombo, North Konawe, Southeast Sulawesi." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-ea4b9r.

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The presence of dunite boulders beneath the limonite zone is a lateritization zonation anomaly because it produces high grades of nickel. This research aims to identify boulders as a source of lateritization and evaluate lateritization zonation concerning major elements. Using XRF laboratory data from systematic zonation sampling the entire data is analyzed by matrix scatter and Pearson Correlation statistics. The results of the research show that the lateritization pattern of boulder dunite has the characteristic that the nickel concentration is slightly influenced by topographic factors and
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Tassi, Emma, Federica Goffi, Carolina Bonivento, et al. "Multivariate Developmental Pattern of Cortical Thickness, Brain Functional Connectivity and Behaviour: a Multi-Block Partial Least Square Discriminant Analysis." In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE, 2024. https://doi.org/10.1109/metroxraine62247.2024.10796151.

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Ramaseshan, Vinod, Ali H. Abdulal, Gusai Al-Aithan, Olavo C. Dias, and Faisal M. Al Faqeer. "Corrosion in a Hydrocracking Unit." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-3936.

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Abstract One of our refineries operates a Two-Stage Hydrocracking Unit with a “Debutanizer First” Fractionation Scheme. The plant configuration is such that the performance of the debutanizer column has an impact both in terms of light ends recovery and more critically, the hydrogen sulfide (H2S) related corrosion issues both in the low pressure and high pressure loop within the hydrocracking unit. This paper analyzes the process performance degradation of the Debutanizer Column by trying to understand and identify the primary causes of the problem, analyzing the same and coming up with a poss
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Pistono, Aurélie, and Robert J. Hartsuiker. "Disfluency patterns in the language production system." In 11th International Conference of Experimental Linguistics. ExLing Society, 2020. http://dx.doi.org/10.36505/exling-2020/11/0039/000454.

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Within the language system, several of the language production levels may be involved in the production of disfluencies. Here, we conducted network task experiments to tackle disfluencies occurring during lexical selection, grammatical selection, and conceptual formulation. We showed that each difficulty induced a different pattern of disfluency. Additionally, multivariate pattern analyses demonstrated that difficulty is predictable from disfluency data patterns.
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Norgaard, Martin, Douglas N. Greve, Claus Svarer, Stephen C. Strother, Gitte M. Knudsen, and Melanie Ganz. "The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data." In 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2018. http://dx.doi.org/10.1109/prni.2018.8423962.

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Filus, Jerzy K., and Lidia Z. Filus. "Multivariate “pseudodistributions” pattern - applications." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756154.

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Filus, Jerzy K., and Lidia Z. Filus. "Multivariate "pseudodistributions" as natural extensions of the multivariate normal density pattern - theory." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756153.

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Reports on the topic "Multivariate pattern analyses"

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Smith, Sean, Lauren Youngblood, Micah Wright, and Phillip van Mantgem. Vegetation community monitoring: Forest structure in Klamath Network parks. National Park Service, 2025. https://doi.org/10.36967/2311589.

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The Klamath Network, comprising six national park units in northern California and southern Oregon, initiated a vegetation monitoring protocol in 2011 to discern ecologically significant vegetation trends in these parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust means for early detection of vegetation change over time. Here, we present these community metrics based on our sampling efforts from 2011 to 2019. Observations from the first sampling event (2011–2013) were used to establish baseline conditions for the vegetation communiti
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Rice, J. M., M. Ross, H E Campbell, R. C. Paulen, and M. B. McClenaghan. Net evolution of subglacial sediment transport in the Quebec-Labrador Sector of the Laurentide Ice Sheet, Quebec and Newfoundland and Labrador. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/332151.

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The interior of the Laurentide Ice Sheet (LIS) had a dynamic polythermal base. However, the subglacial thermal organization of the LIS and its evolution throughout glaciation are poorly constrained. Specifically, the net effect of ice divide migration on subglacial processes and the resulting landforms and sediments remains poorly understood. The results of a regional-scale till sampling program within the interior of the Quebec-Labrador sector of the LIS were used to explore dispersal patterns across a region known to have experienced ice divide migration. Indicator mineral and clast litholog
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