Relevant bibliographies by topics / Fusion distances

Contents

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

Academic literature on the topic 'Fusion distances'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Fusion distances"

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Wang, Xiu Fang, Xue Ming Li, Qi Yang, and De Xin Qin. "Pipeline Network Leakage Diagnosis Based on Distance Data Fusion." Applied Mechanics and Materials 303-306 (February 2013): 918–21. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.918.

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The novel scheme of data fusion is a kind of evidence theories based on distance. We calculate the weight coefficients according to the structure of network and distances matrix between points and sensors. The greater the distance is, the smaller the coefficient will be. Experimental results show that, the proposed algorithm works well with high conflicts and fits characteristics of network.
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Reiner, C. S., T. F. Hany, J. Fornaro, et al. "18F-FDG-PET and MRI in patients with malignancies of the liver and pancreas." Nuklearmedizin 49, no. 03 (2010): 106–14. http://dx.doi.org/10.3413/nukmed-0263.

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Summary Purpose: To evaluate the accuracy of retrospective rigid image registration and fusion between F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) and magnetic resonance imaging (MRI) of the upper abdomen. Patients, material, methods: Image fusion of PET and MRI was performed in 30 patients with suspected malignancy of the liver or pancreas. Using a commercially available image fusion tool capable of rigid manual point-based registration, PET-Images were retrospectively registered and fused by matching eight homologous points in the 3D spoiled gradient echo (GRE) MRI sequenc
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Wang, Tao, Xiaoran Wang, and Mingyu Hong. "Gas Leak Location Detection Based on Data Fusion with Time Difference of Arrival and Energy Decay Using an Ultrasonic Sensor Array." Sensors 18, no. 9 (2018): 2985. http://dx.doi.org/10.3390/s18092985.

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Ultrasonic gas leak location technology is based on the detection of ultrasonic waves generated by the ejection of pressured gas from leak holes in sealed containers or pipes. To obtain more accurate leak location information and determine the locations of leak holes in three-dimensional space, this paper proposes an ultrasonic leak location approach based on multi-algorithm data fusion. With the help of a planar ultrasonic sensor array, the eigenvectors of two individual algorithms, i.e., the arrival distance difference, as determined from the time difference of arrival (TDOA) location algori
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Kumar, G. Ajay, Jin Hee Lee, Jongrak Hwang, Jaehyeong Park, Sung Hoon Youn, and Soon Kwon. "LiDAR and Camera Fusion Approach for Object Distance Estimation in Self-Driving Vehicles." Symmetry 12, no. 2 (2020): 324. http://dx.doi.org/10.3390/sym12020324.

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The fusion of light detection and ranging (LiDAR) and camera data in real-time is known to be a crucial process in many applications, such as in autonomous driving, industrial automation, and robotics. Especially in the case of autonomous vehicles, the efficient fusion of data from these two types of sensors is important to enabling the depth of objects as well as the detection of objects at short and long distances. As both the sensors are capable of capturing the different attributes of the environment simultaneously, the integration of those attributes with an efficient fusion approach grea
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Ji, Linna, Fengbao Yang, and Xiaoming Guo. "Image Fusion Algorithm Selection Based on Fusion Validity Distribution Combination of Difference Features." Electronics 10, no. 15 (2021): 1752. http://dx.doi.org/10.3390/electronics10151752.

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Aiming at addressing the problem whereby existing image fusion models cannot reflect the demand of diverse attributes (e.g., type or amplitude) of difference features on algorithms, leading to poor or invalid fusion effect, this paper puts forward the construction and combination of difference features fusion validity distribution based on intuition-possible sets to deal with the selection of algorithms with better fusion effect in dual mode infrared images. Firstly, the distances of the amplitudes of difference features between fused images and source images are calculated. The distances can
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Predebon, John. "Convergence Responses to Monocularly Viewed Objects: Implications for Distance Perception." Perception 23, no. 3 (1994): 303–19. http://dx.doi.org/10.1068/p230303.

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In four experiments the role of dark vergence and the implied distance from the familiar-size and suggested-size cues to distance on the convergence response was investigated. A nonius-alignment technique was used to measure the convergence response in total darkness (dark vergence) and the fusion-free convergence response to monocularly viewed objects presented at a distance of 75 cm under otherwise reduced stimulus conditions. Observers also estimated the size and distance of the objects. The results indicated a significant association between individuals' dark-vergence distances and the con
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Grothe, Tobias, Julia Nowak, Reinhard Jahn, and Peter Jomo Walla. "Selected tools to visualize membrane interactions." European Biophysics Journal 50, no. 2 (2021): 211–22. http://dx.doi.org/10.1007/s00249-021-01516-6.

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AbstractIn the past decade, we developed various fluorescence-based methods for monitoring membrane fusion, membrane docking, distances between membranes, and membrane curvature. These tools were mainly developed using liposomes as model systems, which allows for the dissection of specific interactions mediated by, for example, fusion proteins. Here, we provide an overview of these methods, including two-photon fluorescence cross-correlation spectroscopy and intramembrane Förster energy transfer, with asymmetric labelling of inner and outer membrane leaflets and the calibrated use of transmemb
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Grove, Philip M., Alistair P. Mapp, and Hiroshi Ono. "The Bifixation Field as a Function of Viewing Distance." Journal of Ophthalmology 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/274803.

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Hering reported that the area over which he could bifixate a target was smaller at near convergence distances than far convergence distances and predicted that in extreme horizontal gaze positions, the temporally directed eye lags behind the nasally directed eye. We tested these predictions using a subjective index of eye position. Experiment 1 confirmed that the bifixation field was significantly smaller at near convergence distances. When bifixation broke down at the near distance, the nasally directed eye lagged behind the temporally directed eye for all observers. At the far distance, the
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Shen, J., W. L. Han, J. Ge, L. B. Zhang, and H. Tan. "DIGITAL ELEVATION MODEL INTERPOLATION BY FUSION OF MORPHOLOGICAL RECONSTRUCTION AND DISTANCE TRANSFORMATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 881–85. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-881-2017.

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Interpolation methods have significant impacts on the accuracy of the digital elevation model (DEM) from contours which are one of frequently employed data sources. In this paper, an interpolation method is presented to build DEM from contour lines by fusion/integration of morphological reconstruction and distance transformation with obstacles. Particularly, morphological reconstruction is used to get the elevation values of the higher contour lines and the lower contour lines of any a spatial point between two contour lines, and distance transformation with obstacles is used to get the geodes
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Kumar, N. B. Mahesh, and K. Premalatha. "Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST." Journal of Applied Mathematics 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/918376.

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Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmpri
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Dissertations / Theses on the topic "Fusion distances"

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Devogele, Thomas. "Système d'information géographique temporelle maritime ; Des distances linéaires à l'analyse temps réel des trajectoires." Habilitation à diriger des recherches, Université de Bretagne occidentale - Brest, 2009. http://tel.archives-ouvertes.fr/tel-00441484.

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Les Systèmes d'Information Géographique (SIG) gèrent des informations complexes localisées dans un espace géographique. Durant la dernière décennie, ces systèmes ont vu l'émergence d'une part des SIG en trois dimensions et plus particulièrement des modèles numériques de terrain (MNT) et d'autre part de l'intégration de données temporelles. Les travaux de recherche en informatique présentés dans ce manuscrit s'attaquent à ces deux thématiques et sont appliqués au domaine maritime. En termes de MNT, ces recherches ont essentiellement porté sur l'intégration de MNT terrestre et maritime. Une méth
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Pereira, Sandra M. C. "Analysis of spatial point patterns using hierarchical clustering algorithms." University of Western Australia. School of Mathematics and Statistics, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0056.

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[Formulae and special characters can only be approximated here. Please see the pdf version of the abstract for an accurate reproduction.] This thesis is a new proposal for analysing spatial point patterns in spatial statistics using the outputs of popular techniques of (classical, non-spatial, multivariate) cluster analysis. The outputs of a chosen hierarchical algorithm, named fusion distances, are applied to investigate important spatial characteristics of a given point pattern. The fusion distances may be regarded as a missing link between the fields of spatial statistics and multivariate
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Guo, Bingchen. "Soft biometric fusion for subject recognition at a distance." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/423611/.

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Biometric recognition is an advanced technology that employs physical features (such as fingerprint, iris and face capture) and behavioural features (such as gait, signature and voice) to identify people. Biometric features are reliable and valid ways to describe the unique properties of individuals, but there are often rigorous requirements on the position and characteristics of devices used for data acquisition. Since biometric features can be difficult to capture at a distance, soft biometric features, such as height, weight, skin colour and gender, have received much attention. Although th
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Luusua, Emil. "Vehicle Detection, at a Distance : Done Efficiently via Fusion of Short- and Long-Range Images." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167073.

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Object detection is a classical computer vision task, encountered in many practical applications such as robotics and autonomous driving. The latter involves serious consequences of failure and a multitude of challenging demands, including high computational efficiency and detection accuracy. Distant objects are notably difficult to detect accurately due to their small scale in the image, consisting of only a few pixels. This is especially problematic in autonomous driving, as objects should be detected at the earliest possible stage to facilitate handling of hazardous situations. Previous wor
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Gunay, Melih. "Representation Of Covariance Matrices In Track Fusion Problems." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609026/index.pdf.

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Covariance Matrix in target tracking algorithms has a critical role at multi- sensor track fusion systems. This matrix reveals the uncertainty of state es- timates that are obtained from diferent sensors. So, many subproblems of track fusion usually utilize this matrix to get more accurate results. That is why this matrix should be interchanged between the nodes of the multi-sensor tracking system. This thesis mainly deals with analysis of approximations of the covariance matrix that can best represent this matrix in order to efectively transmit this matrix to the demanding site. Kullback-Leib
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Sadek, Muheeb. "Synthesis and Investigation of Nucleobase Functionalized β-Peptide as SNAREs Model System for Membranefusion". Doctoral thesis, Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2015. http://hdl.handle.net/11858/00-1735-0000-0022-605D-6.

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Serce, Fatma Cemile. "A Multi-agent Adaptive Learning System For Distance Education." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609220/index.pdf.

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The adaptiveness provides uniquely identifying and monitoring the learner&rsquo<br>s learning activities according to his/her respective profile. The adaptive intelligent learning management systems (AILMS) help a wide range of students to achieve their learning goals effectively by delivering knowledge in an adaptive or individualized style through online learning settings. This study presents a multi-agent system, called MODA, developed to provide adaptiveness in learning management systems (LMS). A conceptual framework for adaptive learning systems is proposed for this purpose. The framewor
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Yin, Bo Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Language identification with language and feature dependency." Awarded By:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/44045.

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The purpose of Language Identification (LID) is to identify a specific language from a spoken utterance, automatically. Language-specific characteristics are always associated with different languages. Most existing LID approaches utilise a statistical modelling process with common acoustic/phonotactic features to model specific languages while avoiding any language-specific knowledge. Great successes have been achieved in this area over past decades. However, there is still a huge gap between these languageindependent methods and the actual language-specific patterns. It is extremely useful t
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Lassoued, Khaoula. "Localisation de robots mobiles en coopération mutuelle par observation d'état distribuée." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2289/document.

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On étudie dans cette thèse des méthodes de localisation coopérative de robots mobiles sans utilisation de mesures extéroceptives relatives, comme des angles ou des distances entre robots. Les systèmes de localisation considérés sont basés sur des mesures de radionavigation sur des balises fixes ou des satellites. Pour ces systèmes, on observe en général un écart entre la position observée et la position réelle. Cet écart systématique (appelé biais) peut être dû à une mauvaise position de la balise ou à une différence entre la propagation réelles des ondes électromagnétiques par rapport aux con
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Lian, Chunfeng. "Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2333/document.

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La radiothérapie est une des méthodes principales utilisée dans le traitement thérapeutique des tumeurs malignes. Pour améliorer son efficacité, deux problèmes essentiels doivent être soigneusement traités : la prédication fiable des résultats thérapeutiques et la segmentation précise des volumes tumoraux. La tomographie d’émission de positrons au traceur Fluoro- 18-déoxy-glucose (FDG-TEP) peut fournir de manière non invasive des informations significatives sur les activités fonctionnelles des cellules tumorales. Les objectifs de cette thèse sont de proposer: 1) des systèmes fiables pour prédi
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Books on the topic "Fusion distances"

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Wells, Christi Jay. Between Beats. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197559277.001.0001.

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Between Beats: The Jazz Tradition and Black Vernacular Dance explores the complex intersections between jazz music and popular dance over the last hundred-plus years. It aims to show how popular entertainment and cultures of social dancing were crucial to jazz music’s formation and development, but it also investigates the processes through which jazz music came to earn a reputation as a “legitimate” art form better suited for still, seated listening. Through the concept of “choreographies of listening,” the book explores amateur and professional jazz dancers’ relationships with jazz music and
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Book chapters on the topic "Fusion distances"

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Aguiló, Isabel, Tomasa Calvo Sánchez, Pilar Fuster-Parra, Javier Martín, Jaume Suñer, and Oscar Valero. "New Advances in the Aggregation of Asymmetric Distances. The Bounded Case." In Fuzzy Logic and Information Fusion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30421-2_8.

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Sheng, Y., X. Yang, P. Valin, and L. Sévigny. "Robust Multisensor Image Registration with Partial Distance Merits." In Multisensor Fusion. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_28.

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Moneta, Carlo, Gianni Vernazza, and Rodolfo Zunino. "A Vectorial Definition of Conceptual Distance for Prototype Acquisition and Refinement." In Data Fusion Applications. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84990-9_13.

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Pang, Shumao, Zhentai Lu, Wei Yang, et al. "Hippocampus Segmentation Through Distance Field Fusion." In Patch-Based Techniques in Medical Imaging. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28194-0_13.

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Bhanu, Bir, and Ju Han. "Fusion of Color/Infrared Video for Human Detection." In Human Recognition at a Distance in Video. Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_6.

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Bhanu, Bir, and Ju Han. "Feature Level Fusion of Face and Gait at a Distance." In Human Recognition at a Distance in Video. Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_11.

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Bhanu, Bir, and Ju Han. "Match Score Level Fusion of Face and Gait at a Distance." In Human Recognition at a Distance in Video. Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_10.

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Duarte, Marco, and Yu-Hen Hu. "Distance Based Decision Fusion in a Distributed Wireless Sensor Network." In Information Processing in Sensor Networks. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36978-3_26.

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Damer, Naser, Wael Alkhatib, Andreas Braun, and Arjan Kuijper. "Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion." In Pattern Recognition and Image Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58838-4_54.

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Dong, Wei, Qiuyuan Wang, Xin Wang, and Hongbin Zha. "PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01240-3_43.

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Conference papers on the topic "Fusion distances"

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Ding, Jiankun, Deqiang Han, Jean Dezert, and Yi Yang. "Comparative study on BBA determination using different distances of interval numbers." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009756.

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Malof, Jordan M., Kenneth D. Morton, Leslie M. Collins, and Peter A. Torrione. "Fusion of forward looking infrared and ground penetrating radar for improved stopping distances in landmine detection." In SPIE Defense + Security, edited by Steven S. Bishop and Jason C. Isaacs. SPIE, 2014. http://dx.doi.org/10.1117/12.2051444.

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Ehaimir, Marwa E., Islem Jarraya, Wael Ouarda, and Adel M. Alimi. "Human gait identity recognition system based on gait pal and pal entropy (GPPE) and distances features fusion." In 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT). IEEE, 2017. http://dx.doi.org/10.1109/sccsit.2017.8293061.

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Han, Qilong, Dan Lu, and Rui Chen. "Fine-Grained Air Quality Inference via Multi-Channel Attention Model." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/346.

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In this paper, we study the problem of fine-grained air quality inference that predicts the air quality level of any location from air quality readings of nearby monitoring stations. We point out the importance of explicitly modeling both static and dynamic spatial correlations, and consequently propose a novel multi-channel attention model (MCAM) that models static and dynamic spatial correlations as separate channels. The static channel combines the beauty of attention mechanisms and graph-based spatial modeling via an adapted bilateral filtering technique, which considers not only locations
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Dong, Jiaxue, Dunbiao Niu, and Enbin Song. "An approach based on Chernoff distance to sparse sensing for distributed detection." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009840.

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Saha, Gobinda C., A. Mateen, and Tahir I. Khan. "Tribological Performance Study of HVOF-Sprayed Microstructured and Nanostructured WC-17wt.%Co Coatings." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40086.

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Abrasive and erosive wear of components and machinery is an ongoing challenge in the oil sands industry in northern Alberta, Canada. To improve the wear resistance by increasing surface hardness of steels, heat treatments and deposition of hard layers of metal alloys (such as stellite) by fusion welding techniques are traditionally used. However, these deposition techniques are not applicable to all shapes and add considerable weight to the final component. Thermal spraying techniques such as the use of high velocity oxy-fuel (HVOF) composite coatings based on WC-Co cermet system offer better
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Hanselmann, Anne, Oliver C. Schrempf, and Uwe D. Hanebeck. "Optimal parametric density estimation by minimizing an analytic distance measure." In 2007 10th International Conference on Information Fusion. IEEE, 2007. http://dx.doi.org/10.1109/icif.2007.4408100.

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Gregoire, Eric. "Extension of a distance-based fusion framework." In Defense and Security, edited by Belur V. Dasarathy. SPIE, 2004. http://dx.doi.org/10.1117/12.540820.

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Torres-Torriti, Miguel, and Andres Guesalaga. "Automatic ship positioning and radar biases correction using the hausdorff distance." In 2007 10th International Conference on Information Fusion. IEEE, 2007. http://dx.doi.org/10.1109/icif.2007.4408137.

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Xiangjie Yang, Yunlong Sheng, L. Sevigny, and P. Valin. "Robust multisensor image registration with partial distance merits." In Proceedings of the Third International Conference on Information Fusion. IEEE, 2000. http://dx.doi.org/10.1109/ific.2000.862645.

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Reports on the topic "Fusion distances"

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Varshney, Pramod K., and Wael Hashlamoun. ALGORITHMS FOR SENSOR FUSION: Applications of Distance Measures and Probability of Error Bounds to Distributed. Detection Systems. Volume 2. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada254634.

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