Relevant bibliographies by topics / Theory of slow feature analysis

Contents

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

Academic literature on the topic 'Theory of slow feature analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Theory of slow feature analysis"

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Kompella, Varun Raj, Matthew Luciw, Marijn Frederik Stollenga, and Juergen Schmidhuber. "Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis." Neural Computation 28, no. 8 (2016): 1599–662. http://dx.doi.org/10.1162/neco_a_00855.

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Consider a self-motivated artificial agent who is exploring a complex environment. Part of the complexity is due to the raw high-dimensional sensory input streams, which the agent needs to make sense of. Such inputs can be compactly encoded through a variety of means; one of these is slow feature analysis (SFA). Slow features encode spatiotemporal regularities, which are information-rich explanatory factors (latent variables) underlying the high-dimensional input streams. In our previous work, we have shown how slow features can be learned incrementally, while the agent explores its world, and
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Wang, G., and X. Chen. "Nonstationary time series prediction combined with slow feature analysis." Nonlinear Processes in Geophysics 22, no. 4 (2015): 377–82. http://dx.doi.org/10.5194/npg-22-377-2015.

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Abstract. Almost all climate time series have some degree of nonstationarity due to external driving forces perturbing the observed system. Therefore, these external driving forces should be taken into account when constructing the climate dynamics. This paper presents a new technique of obtaining the driving forces of a time series from the slow feature analysis (SFA) approach, and then introduces them into a predictive model to predict nonstationary time series. The basic theory of the technique is to consider the driving forces as state variables and to incorporate them into the predictive
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Sprekeler, Henning, and Laurenz Wiskott. "A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells." Neural Computation 23, no. 2 (2011): 303–35. http://dx.doi.org/10.1162/neco_a_00072.

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We develop a group-theoretical analysis of slow feature analysis for the case where the input data are generated by applying a set of continuous transformations to static templates. As an application of the theory, we analytically derive nonlinear visual receptive fields and show that their optimal stimuli, as well as the orientation and frequency tuning, are in good agreement with previous simulations of complex cells in primary visual cortex (Berkes and Wiskott, 2005 ). The theory suggests that side and end stopping can be interpreted as a weak breaking of translation invariance. Direction s
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Lv, Ning, Guang Yuan Bai, Yuan Jian Fu, and Lu Qi Yan. "Fault Diagnosis Model of Beer Fermentation Process Based on Multiway Kernel Principal Component Analysis." Applied Mechanics and Materials 644-650 (September 2014): 2556–61. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2556.

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Aiming at the limitation of the application of principal component analysis model for fault diagnosis in nonlinear time-varying process, kernel transformation theory is introduced into the data feature extraction of nonlinear space, on the basis of the periodic characteristics of the batch process, putting forward a kind of improved multi-way kernel principal component analysis fault diagnosis model, which effectively solves the nonlinear problem of process data and ensures integrity of data and information extraction. By comparing with other methods in experiment, the results show that the pr
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Moore, F. K. "Weak Rotating Flow Disturbances in a Centrifugal Compressor With a Vaneless Diffuser." Journal of Turbomachinery 111, no. 4 (1989): 442–49. http://dx.doi.org/10.1115/1.3262292.

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A theory is presented to predict the occurrence of weak rotating waves in a centrifugal compression system with a vaneless diffuser. As in a previous study of axial systems, an undisturbed performance characteristic is assumed known. Following an inviscid analysis of the diffuser flow, conditions for a neutral rotating disturbance are found. The solution is shown to have two branches; one with fast rotation, the other with very slow rotation. The slow branch includes a dense set of resonant solutions. The resonance is a feature of the diffuser flow, and therefore such disturbances must be expe
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Blakely, Derrick, Eamon Collins, Ritambhara Singh, Andrew Norton, Jack Lanchantin, and Yanjun Qi. "FastSK: fast sequence analysis with gapped string kernels." Bioinformatics 36, Supplement_2 (2020): i857—i865. http://dx.doi.org/10.1093/bioinformatics/btaa817.

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Abstract Motivation Gapped k-mer kernels with support vector machines (gkm-SVMs) have achieved strong predictive performance on regulatory DNA sequences on modestly sized training sets. However, existing gkm-SVM algorithms suffer from slow kernel computation time, as they depend exponentially on the sub-sequence feature length, number of mismatch positions, and the task’s alphabet size. Results In this work, we introduce a fast and scalable algorithm for calculating gapped k-mer string kernels. Our method, named FastSK, uses a simplified kernel formulation that decomposes the kernel calculatio
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Veselovská, Ludmila. "Czech analytic agreement and the characteristics of little pro." Zeitschrift für Slawistik 65, no. 2 (2020): 194–221. http://dx.doi.org/10.1515/slaw-2020-0011.

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AbstractThis study deals with subject predicate agreement in Czech and the structure of a null subject. First, it introduces the concept of Null Subject Languages as it has been used in a generative framework. Then it shows the complex feature content of the Czech subject-predicate agreement morphology, arguing that the data repeatedly signal a division of the agreement features into two clear cut feature sets and two distinct agreement domains: (a) the lower, lexical domain inside vP containing the nominal n[±φ] feature set (Gender and N-Number), and (b) the higher, functional domain on the T
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Ignateva, Tatiana. "The characteristics of English verbs of slow movement in comparison with Chuvash verbs." Филология: научные исследования, no. 6 (June 2021): 77–85. http://dx.doi.org/10.7256/2454-0749.2021.6.34224.

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This article represents a comparative study of the verbs of slow movement in the modern non-cognate languages. The absence of comparative study of the verbs of slow movement in the English and Chuvash languages define the relevance of this work. The goal consists in examination of the verbs of slow movement based on the material of English and Chuvash languages, analysis of the semantic relations within this group, and revealing the determining features of linguistic units that belong to this semantic group, as the author believes that namely these determining features do not always coincide i
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Liu, Zhi Yong, and Xiang Jiang Yuan. "Linear Instability Analysis of Confined Compressible Boundary/Mixing Layers Flow." Applied Mechanics and Materials 275-277 (January 2013): 522–26. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.522.

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A compressible supersonic confluent flow composed of boundary layers and mixing layers are studied by linear stability theory. The flow is confined in a two-dimensional adiabatic channel. A slower flow lying in the center mixes with faster boundary layer flows on both sides and two mixing layers are evolved near the centerline. Different unstable modes were discovered and the first mode was found to be most unstable. Three-dimensional disturbances were investigated and comparison of instability features was made with unconfined boundary layer flows. The investigation of different slow flow wid
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Lv, Fei, Rui Fang Su, and Rui Tian. "The Water as one Wishes, Ecological Flower Town - Chun Lei Town Concept Planning in Daqing City." Applied Mechanics and Materials 209-211 (October 2012): 535–39. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.535.

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This paper used “3S+3L+AVC” tourist town development concepts framework, it imported the beautiful natural waterfront landscape features, unique ecological agriculture condition, natural geothermal hot spring resources and convenient transportation advantage into the small tourism town design. By the analysis of town features, project position, the key design points, it described the theory application in Chun Lei town concept planning from slow system, ecological planning and commercial walk street design three aspects.
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Dissertations / Theses on the topic "Theory of slow feature analysis"

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Sprekeler, Henning. "Slowness learning." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2009. http://dx.doi.org/10.18452/15897.

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In dieser Doktorarbeit wird Langsamkeit als unüberwachtes Lernprinzip in sensorischen Systemen untersucht. Dabei wird zwei Aspekten besondere Aufmerksamkeit gewidmet: der mathematischen Analyse von Slow Feature Analysis - einer Implementierung des Langsamkeitsprinzips - und der Frage, wie das Langsamkeitsprinzip biologisch umgesetzt werden kann. Im ersten Teil wird zunächst eine mathematische Theorie für Slow Feature Analysis entwickelt, die zeigt, dass die optimalen Funktionen für Slow Feature Analysis die Lösungen einer partiellen Differentialgleichung sind. Die Theorie erlaubt, d
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Blaschke, Tobias. "Independent component analysis and slow feature analysis." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2005. http://dx.doi.org/10.18452/15270.

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Der Fokus dieser Dissertation liegt auf den Verbindungen zwischen ICA (Independent Component Analysis - Unabhängige Komponenten Analyse) und SFA (Slow Feature Analysis - Langsame Eigenschaften Analyse). Um einen Vergleich zwischen beiden Methoden zu ermöglichen wird CuBICA2, ein ICA Algorithmus basierend nur auf Statistik zweiter Ordnung, d.h. Kreuzkorrelationen, vorgestellt. Dieses Verfahren minimiert zeitverzögerte Korrelationen zwischen Signalkomponenten, um die statistische Abhängigkeit zwischen denselben zu reduzieren. Zusätzlich wird eine alternative SFA-Formulierung vor
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Wilbert, Niko. "Hierarchical Slow Feature Analysis on visual stimuli and top-down reconstruction." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2012. http://dx.doi.org/10.18452/16526.

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In dieser Dissertation wird ein Modell des visuellen Systems untersucht, basierend auf dem Prinzip des unüberwachten Langsamkeitslernens und des SFA-Algorithmus (Slow Feature Analysis). Dieses Modell wird hier für die invariante Objekterkennung und verwandte Probleme eingesetzt. Das Modell kann dabei sowohl die zu Grunde liegenden diskreten Variablen der Stimuli extrahieren (z.B. die Identität des gezeigten Objektes) als auch kontinuierliche Variablen (z.B. Position und Rotationswinkel). Dabei ist es in der Lage, mit komplizierten Transformationen umzugehen, wie beispielsweise Tiefenrotation.
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Metka, Benjamin [Verfasser]. "Robust Visual Self-localization and Navigation in Outdoor Environments Using Slow Feature Analysis / Benjamin Metka." Bielefeld : Universitätsbibliothek Bielefeld, 2019. http://d-nb.info/1201086124/34.

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Miao, Jianwei. "Component feature-based digital waveform analysis and classification." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13742.

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Wilbert, Niko [Verfasser], Richard [Akademischer Betreuer] Kempter, Laurenz [Akademischer Betreuer] Wiskott, and Felix [Akademischer Betreuer] Wichmann. "Hierarchical Slow Feature Analysis on visual stimuli and top-down reconstruction / Niko Wilbert. Gutachter: Richard Kempter ; Laurenz Wiskott ; Felix Wichmann." Berlin : Humboldt Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2012. http://d-nb.info/102372572X/34.

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Loscalzo, Steven. "Group based techniques for stable feature selection." Diss., Online access via UMI:, 2009.

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Escalante, Bañuelos Alberto Nicolás [Verfasser], Laurenz [Gutachter] Wiskott, and Rolf [Gutachter] Würtz. "Extensions of hierarchical slow feature analysis for efficient classsification and regression on high-dimensional data / Alberto Nicolás Escalante Bañuelos ; Gutachter: Laurenz Wiskott, Rolf Würtz." Bochum : Ruhr-Universität Bochum, 2017. http://d-nb.info/1140223186/34.

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Villacampa, Osiris. "Feature Selection and Classification Methods for Decision Making: A Comparative Analysis." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/63.

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The use of data mining methods in corporate decision making has been increasing in the past decades. Its popularity can be attributed to better utilizing data mining algorithms, increased performance in computers, and results which can be measured and applied for decision making. The effective use of data mining methods to analyze various types of data has shown great advantages in various application domains. While some data sets need little preparation to be mined, whereas others, in particular high-dimensional data sets, need to be preprocessed in order to be mined due to the complexity and
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Berkes, Pietro. "Temporal slowness as an unsupervised learning principle." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2006. http://dx.doi.org/10.18452/15414.

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In dieser Doktorarbeit untersuchen wir zeitliche Langsamkeit als Prinzip für die Selbstorganisation des sensorischen Kortex sowie für computer-basierte Mustererkennung. Wir beginnen mit einer Einführung und Diskussion dieses Prinzips und stellen anschliessend den Slow Feature Analysis (SFA) Algorithmus vor, der das matemathisches Problem für diskrete Zeitreihen in einem endlich dimensionalen Funktionenraum löst. Im Hauptteil der Doktorarbeit untersuchen wir zeitliche Langsamkeit als Lernprinzip für rezeptive Felder im visuellen Kortex. Unter Verwendung von SFA werden Transformationsf
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Books on the topic "Theory of slow feature analysis"

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Shinmura, Shuichi. New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data. Springer, 2018.

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Shinmura, Shuichi. New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data. Springer, 2017.

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Hitlin, Steven, and Sarah K. Harkness. Affect Control Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190465407.003.0007.

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This chapter draws on the theoretical and methodological insights from Affect Control theory (ACT), a theory with decades of research and empirical support, to set up our cross-cultural analyses examing our theory of societal inequality. ACT is a formal mathematical theory used to examine how the various facets of social events (such as the identities and emotions) shape ongoing social action. ACT distills the representation of these various facets to their simplest, most universally recognized dimensions of meaning: evaluation (good vs. bad), potency (powerful vs. weak), and activity (fast vs
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Haig, Brian D. The Philosophy of Quantitative Methods. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.001.0001.

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This book is concerned with the conceptual foundations of research methods. In particular, it undertakes a philosophical examination of a number of different quantitative research methods that are prominent in, or relevant for, the conduct of research in the behavioral sciences. By doing so, the deep structure of the methods is examined in order to overcome the shallow and uncritical understanding that is typically provided by textbooks and other instructional sources. The methods submitted to critical examination are important and mostly well known. They are exploratory data analysis, statist
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Florio, Salvatore, and Øystein Linnebo. The Many and the One. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198791522.001.0001.

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Plural logic has become a well-established subject, especially in philosophical logic. This book explores its broader significance for philosophy, logic, and linguistics. What can plural logic do for us? Are the bold claims made on its behalf correct? After introducing plural logic and its main applications, the book provides a systematic analysis of the relation between this logic and other theoretical frameworks such as set theory, mereology, higher-order logic, and modal logic. The applications of plural logic rely on two assumptions, namely that this logic is ontologically innocent and has
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McGregor, Rafe. A Criminology Of Narrative Fiction. Policy Press, 2021. http://dx.doi.org/10.1332/policypress/9781529208054.001.0001.

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This book answers the question of the usefulness of criminological fiction. Criminological fiction is fiction that can provide an explanation of the causes of crime or social harm and could, in consequence, contribute to the development of crime or social harm reduction policies. The book argues that criminological fiction can provide at least the following three types of criminological knowledge: (1) phenomenological, i.e. representing what certain experiences are like; (2) counterfactual, i.e. representing possible but non-existent situations; and (3) mimetic, i.e. representing everyday real
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Dobson, James E. Critical Digital Humanities. University of Illinois Press, 2019. http://dx.doi.org/10.5622/illinois/9780252042270.001.0001.

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This book seeks to develop an answer to the major question arising from the adoption of sophisticated data-science approaches within humanities research: are existing humanities methods compatible with computational thinking? Data-based and algorithmically powered methods present both new opportunities and new complications for humanists. This book takes as its founding assumption that the exploration and investigation of texts and data with sophisticated computational tools can serve the interpretative goals of humanists. At the same time, it assumes that these approaches cannot and will not
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Taylor, Kenneth A. Meaning Diminished. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198803447.001.0001.

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This book examines the dialectical role of semantic analysis within metaphysical inquiry. It argues that semantic analysis ought to be modest in its metaphysical pretensions in the sense that linguistic and conceptual analysis should not be expected to yield deep insight into either what exists or the nature of what exists. The argument turns on distinctions among narrowly linguistic semantics in the generative tradition and two varieties of broadly philosophical semantics which correspond to broad approaches to semantically infused metaphysical inquiry. In particular it distinguishes ideation
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Del Giudice, Marco. Evolutionary Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190246846.001.0001.

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This book presents a unified approach to evolutionary psychopathology, and advances an integrative framework for the analysis and classification of mental disorders based on the concepts of life history theory. The framework does not aim to replace existing evolutionary models of specific disorders—which are reviewed and critically discussed in the book—but to connect them in a broader perspective and explain the large-scale patterns of risk and comorbidity that characterize psychopathology. The life history framework permits a seamless integration of mental disorders with normative individual
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Crocker, Thomas P. Overcoming Necessity. Yale University Press, 2020. http://dx.doi.org/10.12987/yale/9780300181616.001.0001.

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Using emergency as a cause for action ultimately leads to an almost unnoticed evolution in the political understanding of presidential powers. The Constitution of the United States, however, was designed to function under “states of exception,” most notably through the separation of powers, and provides ample internal checks on emergency actions taken under claims of necessity. This book urges the United States Congress, the courts, and other bodies to put those checks into practice. The book analyzes the constitutional norms that fail to guide and constrain the choice of action through an ana
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Book chapters on the topic "Theory of slow feature analysis"

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Wiskott, Laurenz. "Slow Feature Analysis." In Encyclopedia of Computational Neuroscience. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7320-6_682-2.

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Wiskott, Laurenz. "Slow Feature Analysis." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_682.

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Böhmer, Wendelin, Steffen Grünewälder, Hannes Nickisch, and Klaus Obermayer. "Regularized Sparse Kernel Slow Feature Analysis." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23780-5_25.

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Höfer, Sebastian, Michael Spranger, and Manfred Hild. "Posture Recognition Based on Slow Feature Analysis." In Language Grounding in Robots. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3064-3_6.

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Gu, Xingjian, Chuancai Liu, and Sheng Wang. "Supervised Slow Feature Analysis for Face Recognition." In Biometric Recognition. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02961-0_22.

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Wang, Kaiye, Zhang Zhang, and Liang Wang. "Violence Video Detection by Discriminative Slow Feature Analysis." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33506-8_18.

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Blaschke, Tobias, and Laurenz Wiskott. "Independent Slow Feature Analysis and Nonlinear Blind Source Separation." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_94.

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Metka, Benjamin, Mathias Franzius, and Ute Bauer-Wersing. "Outdoor Self-Localization of a Mobile Robot Using Slow Feature Analysis." In Neural Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42054-2_32.

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Li, Da, Zhang Zhang, and Tieniu Tan. "Large-Scale Slow Feature Analysis Using Spark for Visual Object Recognition." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7305-2_12.

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Shan, Yanhu, Zhang Zhang, and Kaiqi Huang. "Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition." In Computer Vision - ECCV 2014 Workshops. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16199-0_8.

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Conference papers on the topic "Theory of slow feature analysis"

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Song, Miao, David B. Segala, Jonathan B. Dingwell, and David Chelidze. "Slow-Time Changes in Human Muscle Fatigue Are Fully Represented in Movement Kinematics." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35173.

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Muscle fatigue is exhibited in individuals who partake in repetitive movements for an extensive duration of time. The objective of this study was to identify correlation, if any, between movement kinematics and muscle electrical activity (EMG). Movement kinematics and EMG signals were measured and recorded from the lower extremities of stationary elite cyclists. Standard statistical metrics (SSM) and phase space warping (PSW) based features were extracted from the recorded fast-time time series for consecutive intermediate time intervals. The SSM based features were composed of higher moments,
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McCabe, Sarah A., Seo I. Chang, Patricia Davies, and Anil K. Bajaj. "Nonlinear Response of a Clamped Plate to Nonstationary Excitation: Experiments and Theory." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0094.

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Abstract The paper contains a description of a series of experiments conducted on a thin rectangular plate. The initial objective of the experiments was to observe behavior predicted by theoretical studies and observed in simulations of the plate response. The theoretical work centered on predicting the behavior of plates having modes with coincident natural frequencies and driven with a constant sinusoidal excitation. Of particular interest was the modal coupling, due to nonlinearities, which give rise to the possibility of a coupled mode response when only a single mode is excited. Experimen
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Wu, Chen, Bo Du, and Liangpei Zhang. "Slow feature analysis for hyperspectral change detection." In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2014. http://dx.doi.org/10.1109/whispers.2014.8077588.

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Kuhnl, Tobias, Franz Kummert, and Jannik Fritsch. "Monocular road segmentation using slow feature analysis." In 2011 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2011. http://dx.doi.org/10.1109/ivs.2011.5940416.

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Saafan, Hussein, and Qinqin Zhu. "Comprehensive Monitoring with Incremental Slow Feature Analysis." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9482953.

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Kobayashi, Takumi. "Feature Sequence Representation Via Slow Feature Analysis For Action Classification." In British Machine Vision Conference 2017. British Machine Vision Association, 2017. http://dx.doi.org/10.5244/c.31.125.

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Zhao, Luping, Xin Huang, and Rongjian Yu. "Slow Feature Analysis Based Quality Prediction for Slow Time-Varying Batch Processes." In 2020 7th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2020. http://dx.doi.org/10.1109/icisce50968.2020.00261.

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Xiaozhi, Liu, Zhang Liping, Yang Yinghua, and Pan Yongkang. "Process Monitoring Based on Robust Slow Feature Analysis." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832595.

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Zhang, Lei, Xiaoqiang Lu, and Yuan Yuan. "Slow Feature Analysis for Multi-Camera Activity Understanding." In 2013 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2013. http://dx.doi.org/10.1109/icvrv.2013.46.

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Rentuo Tao and Bin Li. "SAR Automatic Target Recognition based on Slow Feature Analysis." In 2015 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2015. http://dx.doi.org/10.1109/pic.2015.7489806.

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Reports on the topic "Theory of slow feature analysis"

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Huynh, Quyen Q., Leon N. Cooper, Nathan Intrator, and Harel Shouval. Classification of Underwater Mammals using Feature Extraction Based on Time-Frequency Analysis and BCM Theory. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada316962.

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Vargas-Herrera, Hernando, Juan Jose Ospina-Tejeiro, Carlos Alfonso Huertas-Campos, et al. Monetary Policy Report - April de 2021. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr2-2021.

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1.1 Macroeconomic summary Economic recovery has consistently outperformed the technical staff’s expectations following a steep decline in activity in the second quarter of 2020. At the same time, total and core inflation rates have fallen and remain at low levels, suggesting that a significant element of the reactivation of Colombia’s economy has been related to recovery in potential GDP. This would support the technical staff’s diagnosis of weak aggregate demand and ample excess capacity. The most recently available data on 2020 growth suggests a contraction in economic activity of 6.8%, lowe
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Financial Stability Report - September 2015. Banco de la República, 2021. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2015.

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From this edition, the Financial Stability Report will have fewer pages with some changes in its structure. The purpose of this change is to present the most relevant facts of the financial system and their implications on the financial stability. This allows displaying the analysis more concisely and clearly, as it will focus on describing the evolution of the variables that have the greatest impact on the performance of the financial system, for estimating then the effect of a possible materialization of these risks on the financial health of the institutions. The changing dynamics of the ri
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