Готові списки джерел за темами / Object characterization

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Добірка наукової літератури з теми "Object characterization"

Автор: Grafiati

Опубліковано: 25 травня 2024

Оновлено: 31 липня 2025

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Статті в журналах з теми "Object characterization"

Howells, Henrietta. "Beyond category-based object characterization." Nature Neuroscience 27, no. 10 (2024): 1861. http://dx.doi.org/10.1038/s41593-024-01781-6.

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Aijazi, A. K., L. Malaterre, L. Trassoudaine, and P. Checchin. "SYSTEMATIC EVALUATION AND CHARACTERIZATION OF 3D SOLID STATE LIDAR SENSORS FOR AUTONOMOUS GROUND VEHICLES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 199–203. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-199-2020.

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Abstract. 3D LiDAR sensors play an important part in several autonomous navigation and perception systems with the technology evolving rapidly over time. This work presents the preliminary evaluation results of a 3D solid state LiDAR sensor. Different aspects of this new type of sensor are studied and their data are characterized for their effective utilization for object detection for the application of Autonomous Ground Vehicles (AGV). The paper provides a set of evaluations to analyze the characterizations and performances of such LiDAR sensors. After characterization of the sensor, the per

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Peli, T. "Multiscale fractal theory and object characterization." Journal of the Optical Society of America A 7, no. 6 (1990): 1101. http://dx.doi.org/10.1364/josaa.7.001101.

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Hofmann, Martin, and Benjamin Pierce. "A unifying type-theoretic framework for objects." Journal of Functional Programming 5, no. 4 (1995): 593–635. http://dx.doi.org/10.1017/s0956796800001490.

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AbstractWe give a direct type-theoretic characterization of the basic mechanisms of object-oriented programming, including objects, methods, message passing, and subtyping, by introducing an explicit constructor for object types and suitable introduction, elimination, and equality rules. The resulting abstract framework provides a basis for justifying and comparing previous encodings of objects based on recursive record types (Cardelli, 1984; Cardelli, 1992; Bruce, 1994; Cook et al., 1990; Mitchell, 1990a) and encodings based on existential types (Pierce & Turner, 1994).

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MALGOUYRES, RÉMY, and GILLES BERTRAND. "COMPLETE LOCAL CHARACTERIZATION OF STRONG 26-SURFACES: CONTINUOUS ANALOGS FOR STRONG 26-SURFACES." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 04 (1999): 465–84. http://dx.doi.org/10.1142/s0218001499000288.

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In Ref. 6, two similar characterizations of discrete surfaces of ℤ3 are proposed which are called strong 18-surfaces and strong 26-surfaces. The proposed characterizations consist in some natural global properties of surfaces. In this paper, we first give local necessary conditions for an object to be a strong 26-surface. An object satisfying these local properties is called a near strong 26-surface. Then we construct continuous analogs for near strong 26-surfaces and, using the continuous Jordan Theorem, we prove that the necessary local conditions previously introduced in fact give a complet

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Salman, Rahmi, Thorsten Schultze, and Ingolf Willms. "Performance Enhancement of UWB Material Characterization and Object Recognition for Security Robots." Journal of Electrical and Computer Engineering 2010 (2010): 1–6. http://dx.doi.org/10.1155/2010/314695.

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By means of UWB Radar sensors the tasks of material characterisation and object recognition can be performed on the basis of a previous imaging of the whole environment. A UWB version of the microwave ellipsometry method is applied for estimating the permittivity of homogenous objects. The object recognition task is performed using bistatic sensor nodes on the basis of Radar measurements. The simulation-based performance evaluations show a very robust behavior due to suitable preprocessing of Radar data. The applications comprise the detection of fire sources, the detection of metallic object

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Rind, F. C. "Intracellular characterization of neurons in the locust brain signaling impending collision." Journal of Neurophysiology 75, no. 3 (1996): 986–95. http://dx.doi.org/10.1152/jn.1996.75.3.986.

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1. In response to a rapidly approaching object, intracellular recordings show that excitation in the locust lobula giant movement detecting (LGMD) neuron builds up exponentially, particularly during the final stages of object approach. After the cessation of object motion, inhibitory potentials in the LGMD then help to terminate this excitation. Excitation in the LGMD follows object recession with a short, constant latency but is cut back rapidly by hyperpolarizing potentials. The timing of these hyperpolarizing potentials in the LGMD is variable, and their latency following object recession i

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Hitchens, Nathan M., Michael E. Baldwin, and Robert J. Trapp. "An Object-Oriented Characterization of Extreme Precipitation-Producing Convective Systems in the Midwestern United States." Monthly Weather Review 140, no. 4 (2012): 1356–66. http://dx.doi.org/10.1175/mwr-d-11-00153.1.

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Extreme precipitation was identified in the midwestern United States using an object-oriented approach applied to the NCEP stage-II hourly precipitation dataset. This approach groups contiguous areas that exceed a user-defined threshold into “objects,” which then allows object attributes to be diagnosed. Those objects with precipitation maxima in the 99th percentile (>55 mm) were considered extreme, and there were 3484 such objects identified in the midwestern United States between 1996 and 2010. Precipitation objects ranged in size from hundreds to over 100 000 km2, and the maximum precipi

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Grekov, R., and A. Borisov. "CHARACTERIZATION OF THE EFFICIENCY OF THE FEATURES AGGREGATE IN FUZZY PATTERN RECOGNITION TASK." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 27, 1997): 78. http://dx.doi.org/10.17770/etr1997vol1.1858.

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Let a set of objects exist each of which is described by N features X1? ..., XN, where each feature X} is a real number. So each object is set by N-dimensional vector (Xl5 ..., XN) and represents a point in the space of object descriptions, RN.There are also set objects for which degrees of membership in either class are unknown. A decision rule should be determined that could enable estimation of the membership of either object with unknown degrees of membership in the given classes (Ozols and Borisov, 1996). To determine the decision rule, such features should be found which give a possibili

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Kula, Muammer, Tuğba Maraşlı, and Samed Özkan. "A note on closedness and connectedness in the category of proximity spaces." Filomat 28, no. 7 (2014): 1483–92. http://dx.doi.org/10.2298/fil1407483k.

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In this paper, an explicit characterization of the separation properties T0 and T1 at a point p is given in the topological category of proximity spaces. Furthermore, the (strongly) closed and (strongly) open subobjects of an object are characterized in the category of proximity spaces and also the characterization of each of the various notions of the connected objects in this category are given.

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Дисертації з теми "Object characterization"

LaPointe, Jamie. "Adaptive estimation techniques for resident space object characterization." Thesis, The University of Arizona, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10250698.

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This thesis investigates using adaptive estimation techniques to determine unknown model parameters such as size and surface material reflectivity, while estimating position, velocity, attitude, and attitude rates of a resident space object. This work focuses on the application of these methods to the space situational awareness problem. This thesis proposes a unique method of implementing a top-level gating network in a dual-layer hierarchical mixture of experts. In addition it proposes a decaying learning parameter for use in both the single layer mixture of experts and the dual

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LaPointe, Jamie J., and Jamie J. LaPointe. "Adaptive Estimation Techniques for Resident Space Object Characterization." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/623263.

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This thesis investigates using adaptive estimation techniques to determine unknown model parameters such as size and surface material reflectivity, while estimating position, velocity, attitude, and attitude rates of a resident space object. This work focuses on the application of these methods to the space situational awareness problem. This thesis proposes a unique method of implementing a top-level gating network in a dual-layer hierarchical mixture of experts. In addition it proposes a decaying learning parameter for use in both the single layer mixture of experts and the dual-layer hierar

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Mandadi, Bharath Kumar Reddy. "Advanced Object Characterization and Monitoring Techniques Using Polarimetric Imaging." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1243780947.

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Biller, Beth A., Johanna Vos, Esther Buenzli, et al. "Simultaneous Multiwavelength Variability Characterization of the Free-floating Planetary-mass Object PSO J318.5−22." IOP PUBLISHING LTD, 2018. http://hdl.handle.net/10150/627034.

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We present simultaneous Hubble Space Telescope (HST) WFC3+Spitzer IRAC variability monitoring for the highly variable young (similar to 20 Myr) planetary-mass object PSO J318.5-22. Our simultaneous HST + Spitzer observations covered approximately two rotation periods with Spitzer and most of a rotation period with the HST. We derive a period of 8.6. +/-. 0.1 hr from the Spitzer light curve. Combining this period with the measuredvsinifor this object, we find an inclination of 56 degrees.2. +/-. 8 degrees.1. We measure peak-to-trough variability amplitudes of 3.4%. +/-. 0.1% for Spitzer Channel

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Flasseur, Olivier. "Object detection and characterization from faint signals in images : applications in astronomy and microscopy." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES042.

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La détection et la caractérisation d’objets dans des images à faible rapport signal sur bruit est un problème courant dans de nombreux domaines tels que l’astronomie ou la microscopie. En astronomie, la détection des exoplanètes et leur caractérisation par imagerie directe depuis la Terre sont des sujets de recherche très actifs. Une étoile cible et son environnement proche (abritant potentiellement des exoplanètes) sont observés sur de courtes poses. En microscopie, l’holographie en ligne est une méthode de choix pour caractériser à faibles coûts les objets microscopiques. Basée sur l’enregis

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Lopes, Alex Cerqueira. "Máscaras: transformações em “Doroteia” de Nelson Rodrigues." Escola de Teatro, 2014. http://repositorio.ufba.br/ri/handle/ri/27042.

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Al, Hayek Marianne. "Modélisation optique de signatures spectrales et polarimétriques d'objets pour augmenter les performances d'un système de reconnaissance." Electronic Thesis or Diss., Brest, 2023. http://www.theses.fr/2023BRES0101.

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L’imagerie conventionnelle, qui se limite aux formes et couleurs des objets, montre ses limites en matière de reconnaissance. Pour améliorer les performances des systèmes d’imagerie, l’imagerie hyperspectrale et polarimétrique apporte une richesse d’informations, notamment des grandeurs physiques difficiles à obtenir autrement. Cela permet d’améliorer la détection, la caractérisation quantitative et la classification des objets. Cependant, le traitement des données complexes de ces modalités reste un défi. L’objectif de ce travail est de proposer une méthodologie générique pour analyser les si

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Fernandes, Lénia Janete Oliveira. "Characterization and identification of printed objects." Master's thesis, FCT - UNL, 2008. http://hdl.handle.net/10362/1763.

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A study about the physical appearance of pre-photographic, photomechanical, photographic and digital positive reflective prints was made, relating the obtained images with the history, materials and technology used to create them. The studied samples are from the Image Permanence Institute (IPI) study collection. The digital images were obtained using a digital SLR on a copystand and a compound light microscope, with different lighting angles (0º, 45ºand 90º) and magnifications from overall views on the copystand down to a 20x objective lens on the microscope. Most of these images were origina

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Goh, Jinzhong Jeremy [Verfasser], Denise [Gutachter] Manahan-Vaughan, and Klaus-Peter [Gutachter] Hoffmann. "Characterization of the effects of novel object-space information on synaptic plasticity in the hippocampal CA1 sub-region of freely behaving mice / Jinzhong Jeremy Goh ; Gutachter: Denise Manahan-Vaughan, Klaus-Peter Hoffmann ; International Graduate School of Neuroscience." Bochum : Ruhr-Universität Bochum, 2013. http://d-nb.info/1212660749/34.

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bin, Ahmad Khairuddin Taufiq. "Characterization of objects by fitting the polarization tensor." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/characterization-of-objects-by-fitting-the-polarization-tensor(1ee0de67-fdd4-4fae-ba00-3f2e4f3987a8).html.

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This thesis focuses on some mathematical aspects and a few recent applications of the polarization tensor (PT). Here, the main concern of the study is to characterize objects presented in electrical or electromagnetic fields by only using the PT. This is possible since the PT contains significant information about the object such as shape, orientation and material properties. Two main applications are considered in the study and they are electrosensing fish and metal detection. In each application, we present a mathematical formulation of the PT and briefly discuss its properties. The PT in th

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Книги з теми "Object characterization"

Scott, Carroll, Zimmt Werner S, Spurgeon David 1962-, and Lane Stacey K, eds. Material characterization tests for objects of art and archaeology. 2nd ed. Archetype Publications, 2005.

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Gril, Joseph, ed. Wood Science for Conservation of Cultural Heritage – Braga 2008. Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-165-6.

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COST Action IE0601 "Wood Science for Conservation of Cultural Heritage" (www.woodculther.org) aims to improve the conservation of European wooden cultural heritage objects, by fostering research and interaction between researchers in various fields of wood science, conservators of wooden artworks, scientists from related fields. These proceedings contain the papers presented in the 2nd International Conference held in Braga (Portugal) 5-7/11/2008, dealing with themes such as material properties, biological degradation, characterization and measurement techniques, conservation, structures. This

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Rieger, Christopher. Faulkner’s Fashion. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9798765103982.

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The first book-length study of clothing and dress across William Faulkner’s novels and short stories. Clothing is one of the most important and pervasive material items throughout William Faulkner’s fiction. Faulkner's Fashion analyzes the writer’s use of clothing from a variety of critical approaches, considering how clothing and dress intersect with race, class, and gender across Faulkner’s works. It also considers clothes as material objects, using Thing Theory and Object Oriented Ontology to illuminate the role clothing plays as an object in conjunction with its multiple layers of symbolic

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Azzouni, Jody. Ontology Without Borders. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190622558.001.0001.

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Part I is metametaphysics. Quantifier variance views are criticized, and it’s shown that ontological debate, to be cogent, requires a single existence concept shared by debate participants. Natural language expresses such a concept which has certain formal properties—univocality among them. It’s shown that an ontological neutralist interpretation of quantifier domains (both formal- and natural-language) is consistent and consistent with usage data. Finally, several puzzles, among them Hob-Nob sentences and truth-talk about fictions, are resolved using the neutralist interpretation. A result es

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Azzouni, Jody. Feature-Characterization Languages. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190622558.003.0009.

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The language appropriate to feature metaphysics is described. This language is one that induces no commitments to objects, although it allows an expression of a commitment to the reality of ontological borders. The language resembles, on the surface, weather reports, with apparently pleonastic subject terms. Feature-characterization languages are shown to be as expressively powerful as those that utilize first-order quantification. They differ from first-order languages because the traditional predication relation (which presupposes objects and properties and relations of those objects) is rep

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Pfeiffer, Christian. Body in Categories 6. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779728.003.0005.

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This chapter expands on the basic theory, which is presented in the Categories. It offers a treatment of the mereotopological properties of bodies, for instance, what belongs to them insofar as they are bodies of physical substances. Bodies are complete and perfect in virtue of being three‐dimensional. Body is prior to surfaces and lines and, because bodies are complete, there cannot be a four‐dimensional magnitude. The explanation offered is that certain topological properties are linked to and determined by the nature of the object in question. Body is a composite of the boundary and the int

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Odegaard, Nancy. Material Characterization Tests for Objects of Art. 2nd ed. Archetype Books, 2005.

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Bistatic Radar Cross Section (RCS) Characterization of Complex Objects. Storming Media, 1999.

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Odegaard, Nancy, Scott Carroll, and Werner S. Zimmt. Material Characterization Tests for Objects of Art and Archaeology. Archetype Publications Ltd, 2000.

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Material Characterization Tests: For Objects of Art and Archaeology. Archetype Books, 2015.

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Частини книг з теми "Object characterization"

Burghouts, Gertjan J. "Task-Specific Novel Object Characterization." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68799-1_33.

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Sirotti, Paolo. "Optical Joint Fourier Transform Correlation for Phase Object Recognition." In Nondestructive Characterization of Materials II. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5338-6_78.

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Reid, Pauline. "Eye and Book." In Object Oriented Environs. punctum books, 2016. https://doi.org/10.21983/p3.0130.1.12.

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My things, the eye and the book, uneasily transgress the boundary between objects and media. Following Bruno Latour’s call to investigate the ways objects “block, render possible,” or “forbid” rather than merely structure our experiences, this essay explores how visual perception com-plicated early modern encounters with the book as object.1 I situate the relation between eye and book within a historically specific early modern material and intellectual environment. Material things shape, to cite gra-ham Harman, how we perceive perception. Even so, our cultural models of perception necessarily

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Andersen, Jens Damgaard. "Combinatorial characterization of perspective projections from polyhedral object scenes." In Computer Vision — ECCV 90. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0014906.

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Bouchaud, François, Thomas Vantroys, and Alexandre Boe. "Characterization of a Connected Object by Its Acoustic Signature." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98015-3_2.

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Landabaso, José Luis, and Montse Pardàs. "Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking." In Machine Learning for Multimodal Interaction. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11677482_21.

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Vascon, Sebastiano, Ylenia Parin, Eis Annavini, Mattia D’Andola, Davide Zoccolan, and Marcello Pelillo. "Characterization of Visual Object Representations in Rat Primary Visual Cortex." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11015-4_43.

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Wu, Shenming, Yishuo Huang, Yu-Min Su, and Yuan-Zhih Lin. "Evaluating the Thermal Characteristics of Rubberized Asphalt by Applying the Object-Based Approach." In Testing and Characterization of Asphalt Materials and Pavement Structures. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95789-0_2.

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Habibi, Golnaz, Sándor P. Fekete, Zachary Kingston, and James McLurkin. "Distributed Object Characterization with Local Sensing by a Multi-robot System." In Distributed Autonomous Robotic Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0_15.

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Osip, David J., S. D. Kern, and J. L. Elliot. "Physical Characterization of the Binary Edgeworth—Kuiper Belt Object 2001 QT297." In The First Decadal Review of the Edgeworth-Kuiper Belt. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-3321-2_35.

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Тези доповідей конференцій з теми "Object characterization"

Lewis, Noah J., Elena Plis, Jainisha Shah, Ryan Beauchemin, Yulia Kuznetsova, and Ryan Hoffmann. "Self-supervised methodologies for orbital object characterization." In Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXXI, edited by David W. Messinger and Miguel Velez-Reyes. SPIE, 2025. https://doi.org/10.1117/12.3054788.

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Srinivasan, Sridhar. "A Generalized Framework for Solving Materials and Corrosion Problems." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96368.

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Abstract A generic framework to support computer-based characterization of materials and corrosion problems has been developed. The framework provides an object-based model to partition and represent domain knowledge in terms of domain objects. The model allows characterization of objects in terms of system parameters and their relationships as a means to represent the state of an object. A template of objects and parameters can be created and used to rank different inter-related objects. The concept has been implemented as a Windows™-based software tool and examples of how the generic framewo

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I, Sudha, M. Vadivel, P. Lakshmiramana, N. Kalpana, Nellore Manoj Kumar, and R. Vinoth. "Forensic Eye: Convolutional Neural Network-based Crime Scene Object Detection System." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877647.

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Srinivasan, Sridhar. "Applications of a Generic Corrosion and Materials Problem-Solving Framework: Case Studies." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97321.

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Abstract A generic framework to support computer-based characterization of materials and corrosion problems has been developed. This paper examines potential applications of this framework which provides an object-based model to partition and represent corrosion and materials domain knowledge in terms of domain objects. Since the framework allows characterization of objects in terms of system parameters and their inter-relationships as a means to represent the state of the system, the framework facilitates representation of problem-solving objects in a domain-independent manner. The framework

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She, Harry, Owen Marshall, Erin Dale, and Chandler Phelps. "Multi-Layered Machine Learning for Rapid LEO Object Characterization Leveraging Global Radar Data." In 22nd IAA Symposium on Space Debris, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078360-0080.

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Flores, Gerardo, and Micky Rakotondrabe. "Output Feedback Control of a Piezoelectric Robotic Manipulator During the Characterization of an Object Exhibiting Nonlinear Viscoelastic Deformation." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644556.

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Jackin, B. J., P. K. Palanisamy, T. Yatagai, P. Predeep, Mrinal Thakur, and M. K. Ravi Varma. "Retrieving Full Object Information from Partial Object Information using Digital Holography." In OPTICS: PHENOMENA, MATERIALS, DEVICES, AND CHARACTERIZATION: OPTICS 2011: International Conference on Light. AIP, 2011. http://dx.doi.org/10.1063/1.3643532.

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Leu, Jia-Guu, Ishwar K. Sethi, and Tao Hong. "Object Surface Characterization From Range Images." In SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, edited by Wayne Wiitanen. SPIE, 1988. http://dx.doi.org/10.1117/12.947688.

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Davoudi, Mahsa Razavi, and Fereidoon Shams Aliee. "Characterization of Enterprise Architecture quality attributes." In 2009 13th Enterprise Distributed Object Computing Conference Workshops, EDOCW. IEEE, 2009. http://dx.doi.org/10.1109/edocw.2009.5332004.

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Zeng, Hongliang, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, and Fang Li. "MARS: Multimodal Active Robotic Sensing for Articulated Characterization." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/181.

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Precise perception of articulated objects is vital for empowering service robots. Recent studies mainly focus on point cloud, a single-modal approach, often neglecting vital texture and lighting details and assuming ideal conditions like optimal viewpoints, unrepresentative of real-world scenarios. To address these limitations, we introduce MARS, a novel framework for articulated object characterization. It features a multi-modal fusion module utilizing multi-scale RGB features to enhance point cloud features, coupled with reinforcement learning-based active sensing for autonomous optimization

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Звіти організацій з теми "Object characterization"

Johnson, R. An object-oriented approach to site characterization decision support. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/78721.

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Hofmann, Peter, Robert Marschallinger, Michael Unterwurzacher, and Fritz Zobl. Designation of marble provenance: State-of-the-art rock fabric characterization in thin sections by object based image analysis. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0284.

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Gritzo, L. A., J. L. Moya, and D. Murray. Fire characterization and object thermal response for a large flat plate adjacent to a large JP-4 fuel fire. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/437679.

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Chinn, D., R. Huber, D. Chambers, et al. Acoustic Characterization of Mesoscale Objects. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/969531.

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Hsieh, Chung-kao Peter. Laser-ultrasound characterization of spherical objects. G.L. report No. 5097. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10143768.

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Bulaevskaya, V. Probabilistic Characterization of Partial Volume Effects in Imaging of Rectangular Objects. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1184185.

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Koegler, Wendy S., and W. Philip, Jr Kegelmeyer. One user's report on Sandia data objects : evaluation of the DOL and PMO for use in feature characterization. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918321.

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Huntsman-Mapila, P., A. E. Cleaver, E. J. Berryman, et al. Fugitive mine dust: evaluation of innovative monitoring and characterization techniques. Natural Resources Canada/CMSS/Information Management, 2025. https://doi.org/10.4095/paevmnxvz.

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Le présent document résume les progrès réalisés, les résultats obtenus à ce jour et les travaux futurs de Ressources naturelles Canada dans le cadre du Projet de recherche sur la poussière fugitive. Le programme de recherche a été lancé en 2017 avec des projets qui se déroulent partout au Canada, y compris en Nouvelle-Écosse, au Québec, dans les Territoires du Nord-Ouest et, plus récemment, au Nunavut. Le programme de recherche vise à innover des approches pour combler les lacunes dans les connaissances associées à la surveillance de la poussière en améliorant les techniques de dépoussiérage e

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