Auswahl der wissenschaftlichen Literatur zum Thema „Localization density“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Localization density" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Localization density"
Gadre, Shridhar R., Sudhir A. Kulkarni und Rajeev K. Pathak. „Density‐based electron localization function via nonlocal density approximation“. Journal of Chemical Physics 98, Nr. 4 (15.02.1993): 3574–76. http://dx.doi.org/10.1063/1.464082.
Der volle Inhalt der QuelleMovaghar, B. „Localization and the density of states“. Philosophical Magazine B 65, Nr. 5 (Mai 1992): 1097–108. http://dx.doi.org/10.1080/13642819208217923.
Der volle Inhalt der QuelleBalan, Radu, Peter G. Casazza, Christopher Heil und Zeph Landau. „Density, overcompleteness, and localization of frames“. Electronic Research Announcements of the American Mathematical Society 12, Nr. 10 (07.07.2006): 71–86. http://dx.doi.org/10.1090/s1079-6762-06-00163-6.
Der volle Inhalt der QuelleHutník, Ondrej, Egor A. Maximenko und Anna Mišková. „Toeplitz Localization Operators: Spectral Functions Density“. Complex Analysis and Operator Theory 10, Nr. 8 (20.05.2016): 1757–74. http://dx.doi.org/10.1007/s11785-016-0564-1.
Der volle Inhalt der QuellePilmé, Julien. „Electron localization function from density components“. Journal of Computational Chemistry 38, Nr. 4 (17.11.2016): 204–10. http://dx.doi.org/10.1002/jcc.24672.
Der volle Inhalt der QuelleSchroer, Bert. „Area density of localization entropy: I. The case of wedge localization“. Classical and Quantum Gravity 23, Nr. 17 (07.08.2006): 5227–48. http://dx.doi.org/10.1088/0264-9381/23/17/008.
Der volle Inhalt der QuelleBouhdid, Badia, Wafa Akkari und Sofien Gannouni. „Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks“. International Journal on Semantic Web and Information Systems 13, Nr. 3 (Juli 2017): 68–88. http://dx.doi.org/10.4018/ijswis.2017070104.
Der volle Inhalt der QuelleSuslov, Igor' M. „Density of states near the localization threshold“. Uspekhi Fizicheskih Nauk 166, Nr. 8 (1996): 907. http://dx.doi.org/10.3367/ufnr.0166.199608x.0907.
Der volle Inhalt der QuelleMarsh, Richard J., Karin Pfisterer, Pauline Bennett, Liisa M. Hirvonen, Mathias Gautel, Gareth E. Jones und Susan Cox. „Artifact-free high-density localization microscopy analysis“. Nature Methods 15, Nr. 9 (30.07.2018): 689–92. http://dx.doi.org/10.1038/s41592-018-0072-5.
Der volle Inhalt der QuelleSuslov, Igor' M. „Density of states near the localization threshold“. Physics-Uspekhi 39, Nr. 8 (31.08.1996): 848–49. http://dx.doi.org/10.1070/pu1996v039n08abeh001549.
Der volle Inhalt der QuelleDissertationen zum Thema "Localization density"
Lee, Chee Sing. „Simultaneous localization and mapping using single cluster probability hypothesis density filters“. Doctoral thesis, Universitat de Girona, 2015. http://hdl.handle.net/10803/323637.
Der volle Inhalt der QuelleEn aquesta tesis es desenvolupa aquest algoritme a partir d’un filtre PHD amb un únic grup (SC-PHD), una tècnica d’estimació multi-objecte basat en processos d’agrupació. Aquest algoritme té unes capacitats que normalment no es veuen en els algoritmes de SLAM basats en característiques, ja que és capaç de tractar falses característiques, així com característiques no detectades pels sensors del vehicle, a més de navegar en un entorn amb la presència de característiques estàtiques i característiques en moviment de forma simultània. Es presenten els resultats experimentals de l’algoritme SC-PHD en entorns reals i simulats utilitzant un vehicle autònom submarí. Els resultats són comparats amb l’algoritme de SLAM Rao-Blackwellized PHD (RB-PHD), demostrant que es requereixen menys aproximacions en la seva derivació i en conseqüència s’obté un rendiment superior.
Heinicke, Christiane. „Lithospheric-Scale Stresses and Shear Localization Induced by Density-Driven Instabilities“. Thesis, Uppsala universitet, Geofysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-183725.
Der volle Inhalt der QuelleTorab, Leili. „The forward problem of EEG source localization using Current Density Imaging“. Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0020/MQ53445.pdf.
Der volle Inhalt der QuelleLópez, Villafuerte Freddy [Verfasser]. „Localization of wireless sensor nodes based on local network density / Freddy López Villafuerte“. Berlin : Freie Universität Berlin, 2010. http://d-nb.info/1024104060/34.
Der volle Inhalt der QuelleDe, Santis Lorenzo. „Theory of electron Localization Function and its Applications: Surfaces, Impurities and Enzymatic Catalysis“. Doctoral thesis, SISSA, 1999. http://hdl.handle.net/20.500.11767/4428.
Der volle Inhalt der QuelleMazzarello, Riccardo. „Localization and density of states of disordered low-dimensional systems in a magnetic field“. [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971652023.
Der volle Inhalt der QuelleDihidar, Souvik. „Applications of Low Density Parity Check Codes for Wiretap Channels and Congestion Localization in Networks“. Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13969.
Der volle Inhalt der QuelleElesev, Aleksandr. „Robot Localization Using Inertial and RF Sensors“. Miami University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1218571607.
Der volle Inhalt der QuelleMaffei, Renan de Queiroz. „Translating sensor measurements into texts for localization and mapping with mobile robots“. reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/158403.
Der volle Inhalt der QuelleSimultaneous Localization and Mapping (SLAM), fundamental for building robots with true autonomy, is one of the most difficult problems in Robotics and consists of estimating the position of a robot that is moving in an unknown environment while incrementally building the map of such environment. Arguably the most crucial requirement to obtain proper localization and mapping is precise place recognition, that is, determining if the robot is at the same place in different occasions just by looking at the observations taken by the robot. Most approaches in literature are good when using highly expressive sensors such as cameras or when the robot is situated in low ambiguous environments. However this is not the case, for instance, using robots equipped only with range-finder sensors in highly ambiguous indoor structured environments. A good SLAM strategy must be able to handle these scenarios, deal with noise and observation errors, and, especially, model the environment and estimate the robot state in an efficient way. Our proposal in this work is to translate sequences of raw laser measurements into an efficient and compact text representation and deal with the place recognition problem using linguistic processing techniques. First, we translate raw sensor measurements into simple observation values computed through a novel observation model based on kernel-density estimation called Free-Space Density (FSD). These values are quantized into significant classes allowing the division of the environment into contiguous regions of homogeneous spatial density, such as corridors and corners. Regions are represented in a compact form by simple words composed of three syllables – the value of spatial density, the size and the variation of orientation of that region. At the end, the chains of words associated to all observations made by the robot compose a text, in which we search for matches of n-grams (i.e. sequences of words), which is a popular technique from shallow linguistic processing. The technique is also successfully applied in some scenarios of long-term operation, where we must deal with semi-static objects (i.e. that can move occasionally, such as doors and furniture). All approaches were evaluated in simulated and real scenarios obtaining good results.
MERICO, DAVIDE. „Tracking with high-density, large-scale wireless sensor networks“. Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7785.
Der volle Inhalt der QuelleBücher zum Thema "Localization density"
Torab, Leili. The forward problem of EEG source localization using current density imaging. Ottawa: National Library of Canada, 2000.
Den vollen Inhalt der Quelle findenSchomer, Andrew, Margitta Seeck, Andres M. Kanner und Donald L. Schomer. Anterotemporal, Basal Temporal, Nasopharyngeal, and Sphenoidal Electrodes and High-Density Arrays. Herausgegeben von Donald L. Schomer und Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0006.
Der volle Inhalt der QuelleMichel, Christoph M., und Bin He. EEG Mapping and Source Imaging. Herausgegeben von Donald L. Schomer und Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.
Der volle Inhalt der QuelleHermans, Hubert J. M. The Dynamics of Society-in-the-Self. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190687793.003.0002.
Der volle Inhalt der QuelleBuchteile zum Thema "Localization density"
March, N. H. „Localization via Density Functionals“. In Topics in Current Chemistry, 201–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48972-x_11.
Der volle Inhalt der QuelleWegner, Franz. „Density Correlations Near the Mobility Edge“. In Localization and Metal-Insulator Transitions, 337–46. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2517-8_27.
Der volle Inhalt der QuelleContreras-García, Julia, Miriam Marqués, Bernard Silvi und José M. Recio. „Bonding Changes Along Solid-Solid Phase Transitions Using the Electron Localization Function Approach“. In Modern Charge-Density Analysis, 625–58. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3836-4_18.
Der volle Inhalt der QuelleFang, Sheng En, Ricardo Perera und Maria Consuelo Huerta. „Damage Localization Based on Power Spectral Density Analysis“. In Damage Assessment of Structures VII, 589–94. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-444-8.589.
Der volle Inhalt der QuelleBorghesani, A. F., und M. Santini. „Excess Electron Localization in High-Density Neon Gas“. In Linking the Gaseous and Condensed Phases of Matter, 281–301. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2540-0_18.
Der volle Inhalt der QuelleLuo, Ye, Junsong Yuan, Ping Xue und Qi Tian. „Saliency Density Maximization for Object Detection and Localization“. In Computer Vision – ACCV 2010, 396–408. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19318-7_31.
Der volle Inhalt der QuelleDunstan, Rhys A., Iain D. Hay und Trevor Lithgow. „Defining Membrane Protein Localization by Isopycnic Density Gradients“. In Methods in Molecular Biology, 81–86. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7033-9_6.
Der volle Inhalt der QuelleDunstan, Rhys A., Iain D. Hay und Trevor Lithgow. „Defining Membrane Protein Localization by Isopycnic Density Gradients“. In Methods in Molecular Biology, 91–98. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3445-5_6.
Der volle Inhalt der QuelleChen, J., T. C. Chung, F. Moraes und A. J. Heeger. „First-Order Phase Transition to the Metallic State in Doped Polyacetylene: Solitons at High Density“. In Localization and Metal-Insulator Transitions, 367–78. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2517-8_30.
Der volle Inhalt der QuelleDattola, Serena, Fabio La Foresta, Lilla Bonanno, Simona De Salvo, Nadia Mammone, Silvia Marino und Francesco Carlo Morabito. „Effect of Sensor Density on eLORETA Source Localization Accuracy“. In Neural Approaches to Dynamics of Signal Exchanges, 403–14. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8950-4_36.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Localization density"
Kusy, Branislav, Akos Ledeczi, Miklos Maroti und Lambert Meertens. „Node density independent localization“. In the fifth international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1127777.1127844.
Der volle Inhalt der QuelleKusy, B., A. Ledeczi, M. Maroti und L. Meertens. „Node-density independent localization“. In The Fifth International Conference on Information Processing in Sensor Networks. IEEE, 2006. http://dx.doi.org/10.1109/ipsn.2006.243912.
Der volle Inhalt der QuelleKaroliny, Julian, Bernhard Etzlinger und Andreas Springer. „Mixture Density Networks for WSN Localization“. In 2020 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2020. http://dx.doi.org/10.1109/iccworkshops49005.2020.9145035.
Der volle Inhalt der QuelleZaarour, Nour, Nadir Hakem und NahiKandil. „Anchor Density Minimization for Localization in Wireless Sensor Network (WSN)“. In 7th International Conference on Computer Science and Information Technology (CSTY 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112201.
Der volle Inhalt der QuelleLu, Ya, Ji Zhao und Jiayi Ma. „Object localization by density-based spatial clustering“. In 2016 Visual Communications and Image Processing (VCIP). IEEE, 2016. http://dx.doi.org/10.1109/vcip.2016.7805515.
Der volle Inhalt der QuelleBahi, Jacques M., Abdallah Makhoul und Ahmed Mostefaoui. „Localization and Coverage for High Density Sensor Networks“. In Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07). IEEE, 2007. http://dx.doi.org/10.1109/percomw.2007.61.
Der volle Inhalt der QuelleMaffei, Renan, Vitor A. M. Jorge, Vitor F. Rey, Mariana Kolberg und Edson Prestes. „Fast Monte Carlo Localization using spatial density information“. In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015. http://dx.doi.org/10.1109/icra.2015.7140091.
Der volle Inhalt der QuelleRibacki, Arthur, Vitor A. M. Jorge, Mathias Mantelli, Renan Maffei und Edson Prestes. „Vision-Based Global Localization Using Ceiling Space Density“. In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8460515.
Der volle Inhalt der QuelleDogan, Refika Sultan, und Bulent Yilmaz. „Polyp Localization in Colonoscopy Images Using Vessel Density“. In 2018 Medical Technologies National Congress (TIPTEKNO). IEEE, 2018. http://dx.doi.org/10.1109/tiptekno.2018.8597166.
Der volle Inhalt der QuelleKemper, Jurgen, und Daniel Hauschildt. „Passive infrared localization with a Probability Hypothesis Density filter“. In 2010 7th Workshop on Positioning, Navigation and Communication (WPNC). IEEE, 2010. http://dx.doi.org/10.1109/wpnc.2010.5653529.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Localization density"
Gillespie, Douglas. 6th International workshop on the Detection, Classification, Localization and Density Estimation of Marine Mammals. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada602542.
Der volle Inhalt der QuelleMellinger, David K. Fifth International Workshop on Detection, Classification, Localization and Density Estimation of Marine Mammals using Passive Acoustics. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada573558.
Der volle Inhalt der QuelleMellinger, David K. Fifth International Workshop on Detection, Classification, Localization and Density Estimation of Marine Mammals using Passive Acoustics. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598544.
Der volle Inhalt der QuelleChristie, Benjamin, Osama Ennasr und Garry Glaspell. ROS integrated object detection for SLAM in unknown, low-visibility environments. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42385.
Der volle Inhalt der QuelleRahmani, Mehran, Xintong Ji und Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, September 2022. http://dx.doi.org/10.31979/mti.2022.2033.
Der volle Inhalt der Quelle