Relevant bibliographies by topics / Task of interpolation

Contents

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

Academic literature on the topic 'Task of interpolation'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Task of interpolation"

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Md. Mahabub Alam and Md Nuruzzaman. "Comparative analysis of interpolation methods commonly used in bathymetric data generation." World Journal of Advanced Research and Reviews 25, no. 3 (2025): 2018–29. https://doi.org/10.30574/wjarr.2025.25.3.0835.

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This research paper aims to provide a comparative analysis of interpolation methods for estimating bathymetric data. Accurate measurement of bathymetry is crucial for a variety of applications, including navigation, oceanography, and coastal management. However, due to the high cost and difficulty of acquiring bathymetric data, gaps in measurements are common. Interpolation methods are widely used to fill these gaps and estimate the depths of water at unsampled locations. In this study, we analyze the most commonly used interpolation methods, including linear, inverse distance weighting, krigi
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Xing, Jinbo, Wenbo Hu, Yuechen Zhang, and Tien-Tsin Wong. "Flow-aware synthesis: A generic motion model for video frame interpolation." Computational Visual Media 7, no. 3 (2021): 393–405. http://dx.doi.org/10.1007/s41095-021-0208-x.

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AbstractA popular and challenging task in video research, frame interpolation aims to increase the frame rate of video. Most existing methods employ a fixed motion model, e.g., linear, quadratic, or cubic, to estimate the intermediate warping field. However, such fixed motion models cannot well represent the complicated non-linear motions in the real world or rendered animations. Instead, we present an adaptive flow prediction module to better approximate the complex motions in video. Furthermore, interpolating just one intermediate frame between consecutive input frames may be insufficient fo
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Pihajoki, Pauli, Matias Mannerkoski, and Peter H. Johansson. "Barycentric interpolation on Riemannian and semi-Riemannian spaces." Monthly Notices of the Royal Astronomical Society 489, no. 3 (2019): 4161–69. http://dx.doi.org/10.1093/mnras/stz2447.

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ABSTRACT Interpolation of data represented in curvilinear coordinates and possibly having some non-trivial, typically Riemannian or semi-Riemannian geometry is a ubiquitous task in all of physics. In this work, we present a covariant generalization of the barycentric coordinates and the barycentric interpolation method for Riemannian and semi-Riemannian spaces of arbitrary dimension. We show that our new method preserves the linear accuracy property of barycentric interpolation in a coordinate-invariant sense. In addition, we show how the method can be used to interpolate constrained quantitie
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Floquet, J., F. Champagnat, and S. Beneddine. "Physics-Driven PTV Interpolation Through Learned Regularization." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (July 11, 2022): 1–16. http://dx.doi.org/10.55037/lxlaser.20th.46.

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This paper deals with spatial interpolation of instantaneous Particle Tracking Velocimetry (PTV) data. Such a task can be handled using generic signal processing tools like B-splines, radial basis functions (RBF) or Kriging. We deal with non time-resolved PTV as gathered by dual frame particle image velocimetry (PIV) systems followed by dual frame PTV algorithms. In such a dual frame context, Physics-based interpolation techniques typically rely on enforcement of divergence free constraints on the interpolated field. The aim of this communication is to explore the wider field of Physics-based
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Malvić, Tomislav, Josip Ivšinović, Josipa Velić, Jasenka Sremac, and Uroš Barudžija. "Application of the Modified Shepard’s Method (MSM): A Case Study with the Interpolation of Neogene Reservoir Variables in Northern Croatia." Stats 3, no. 1 (2020): 68–83. http://dx.doi.org/10.3390/stats3010007.

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Interpolation is a procedure that depends on the spatial and/or statistical properties of the analysed variable(s). It is a particularly challenging task for small datasets, such as in those with less than 20 points of data. This problem is common in subsurface geological mapping, i.e., in cases where the data is taken solely from wells. Successful solutions of such mapping problems depend on interpolation methods designed primarily for small datasets and the datasets themselves. Here, we compare two methods, Inverse Distance Weighting and the Modified Shepard’s Method, and apply them to three
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Niu, Jing Li, Jing Chen, and Dong Hai Chen. "Design of the NC Software of a Micro Mill Based on LabVIEW." Advanced Materials Research 722 (July 2013): 541–44. http://dx.doi.org/10.4028/www.scientific.net/amr.722.541.

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LabVIEW provides a new development platform for the design of NC software for its multi-task parallel and real-time processing. This paper discussed the design of the NC software of a micro mill based on LabVIEW. Six modules of the NC software, composed of such as algorithms of decoder, cutter compensation, interpolation, were analyzed in detail with structured analysis methods. NC codes simulation was carried out using the software. The results showed that it can complete NC functions such as line interpolation, circular interpolation, and cutter compensation.
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He, Fang Yuan. "3D Face Modeling Adjustment Based on Kriging." Applied Mechanics and Materials 329 (June 2013): 488–92. http://dx.doi.org/10.4028/www.scientific.net/amm.329.488.

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3D face modeling has been an important offset of computer graphics. It can be used in many fields. Modeling reality face of a given person is a difficult task because of the complexity of face surface. To improve the modeling results, kriging was used in 3D face modeling adjustment . The general face model is personalized using the space interpolation technology of Kriging. To improve the result of Kriging, the 3D model is smoothed by interpolating once again in a local area near every feature point, and then a better natural result is achieved. The final model is more human and natural.
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Grevera, G. J., J. K. Udupa, and Y. Miki. "A task-specific evaluation of three-dimensional image interpolation techniques." IEEE Transactions on Medical Imaging 18, no. 2 (1999): 137–43. http://dx.doi.org/10.1109/42.759116.

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Ahn, Ha-Eun, Jinwoo Jeong, and Je Woo Kim. "A Fast 4K Video Frame Interpolation Using a Hybrid Task-Based Convolutional Neural Network." Symmetry 11, no. 5 (2019): 619. http://dx.doi.org/10.3390/sym11050619.

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Visual quality and algorithm efficiency are two main interests in video frame interpolation. We propose a hybrid task-based convolutional neural network for fast and accurate frame interpolation of 4K videos. The proposed method synthesizes low-resolution frames, then reconstructs high-resolution frames in a coarse-to-fine fashion. We also propose edge loss, to preserve high-frequency information and make the synthesized frames look sharper. Experimental results show that the proposed method achieves state-of-the-art performance and performs 2.69x faster than the existing methods that are oper
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Zhang, Jiayi, Zhi Cui, Xiaoqiang Xia, et al. "Writing Polishment with Simile: Task, Dataset and A Neural Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14383–92. http://dx.doi.org/10.1609/aaai.v35i16.17691.

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A simile is a figure of speech that directly makes a comparison, showing similarities between two different things, e.g. ``Reading papers can be dull sometimes,like watching grass grow". Human writers often interpolate appropriate similes into proper locations of the plain text to vivify their writings. However, none of existing work has explored neural simile interpolation, including both locating and generation. In this paper, we propose a new task of Writing Polishment with Simile (WPS) to investigate whether machines are able to polish texts with similes as we human do. Accordingly, we des
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Dissertations / Theses on the topic "Task of interpolation"

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Гостєв, Е. С., Оксана Анатоліївна Боженко, Оксана Анатольевна Боженко та Oksana Anatoliivna Bozhenko. "Слабко регулярні множини". Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/65598.

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Поняття слабко регулярної множини у комплексній площині дає можливість будувати приклади інтерполяційних множин у класах цілих функцій нульового порядку. Для їх побудови використовувалась інтерполяційна теорема Карлесона в термінах міри, що породжується цими вузлами.
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Strukov, D. D., and O. Y. Myronchuk. "Application of neural networks for solving interpolation tasks." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50536.

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1. Jinwook Go, Kwanghoon Sohn and Chulhee Lee, "Interpolation using neural networks for digital still cameras," in IEEE Transactions on Consumer Electronics, vol. 46, no. 3, pp. 610-616, Aug. 2000, doi: 10.1109/30.883419. 2. Myronchuk, O., Shpylka, O., & Zhuk, S. (2020). Two-stage Channel Frequency Response Estimation in OFDM Systems. Path of Science, 6(2), 1001-1007. doi: http://dx.doi.org/10.22178/pos.55-1 3. Myronchuk O. Algorithm Of Channel Frequency Response Estimation In Orthogonal Frequency Division Multiplexing Systems Based On Kalman Filter / O. Myronchuk, O. Shpylka, S. Zhuk // 202
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Chen, Wen-Han, and 陳文漢. "Color Interpolation for Cross-Talk Noise Reduction." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/62833266282251303496.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>99<br>Most digital cameras use single electronic sensors such as CCD (Charge-Coupled Device) or CMOS (Complementary Metal-Oxide-Semiconductor). To reduce cost, we always use Bayer pattern to get the other color information. Since white light is composed of light of different wavelengths. Since silicon has different absorption rates for different wavelengths. It will cause blocky cross-talk artifact. In this thesis, we propose a new color interpolation to reduce blocky information and successfully keep image detail.
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Shen, Yueshi. "Joint-space recipes for manipulator robots performing compliant motion tasks : trajectory-optimization, interpolation, and control." Phd thesis, 2006. http://hdl.handle.net/1885/145779.

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Schoenke, Jan H. "Algorithms for Scalable On-line Machine Learning on Regression Tasks." Doctoral thesis, 2019. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904251500.

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In the realm of ever increasing data volume and traffic the processing of data as a stream is key in order to build flexible and scalable data processing engines. On-line machine learning provides powerful algorithms for extracting predictive models from such data streams even if the modeled relation is time-variant in nature. The modeling of real valued data in on-line regression tasks is especially important as it connects to modeling and system identification tasks in engineering domains and bridges to other fields of machine learning like classification and reinforcement learning. Therefor
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Book chapters on the topic "Task of interpolation"

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Ghilardi, Silvio, Alessandro Gianola, and Deepak Kapur. "Interpolation and Amalgamation for Arrays with MaxDiff." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71995-1_14.

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AbstractIn this paper, the theory of McCarthy’s extensional arrays enriched with a maxdiff operation (this operation returns the biggest index where two given arrays differ) is proposed. It is known from the literature that a diff operation is required for the theory of arrays in order to enjoy the Craig interpolation property at the quantifier-free level. However, the diff operation introduced in the literature is merely instrumental to this purpose and has only a purely formal meaning (it is obtained from the Skolemization of the extensionality axiom). Our maxdiff operation significantly inc
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Wulff, Jonas, and Michael J. Black. "Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12939-2_39.

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Cuoco, Al. "Some Applications of Abstract Algebra to High School Teaching: Task Design and Polynomial Interpolation." In Connecting Abstract Algebra to Secondary Mathematics, for Secondary Mathematics Teachers. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99214-3_18.

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Baier, Daniel, Dirk Beyer, Po-Chun Chien, et al. "CPAchecker 2.3 with Strategy Selection." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57256-2_21.

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AbstractCPAchecker is a versatile framework for software verification, rooted in the established concept of configurable program analysis. Compared to the last published system description at SV-COMP 2015, the CPAchecker submission to SV-COMP 2024 incorporates new analyses for reachability safety, memory safety, termination, overflows, and data races. To combine forces of the available analyses in CPAchecker and cover the full spectrum of the diverse program characteristics and specifications in the competition, we use strategy selection to predict a sequential portfolio of analyses that is su
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Beyer, Dirk, Po-Chun Chien, and Nian-Ze Lee. "Augmenting Interpolation-Based Model Checking with Auxiliary Invariants." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66149-5_13.

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AbstractSoftware model checking is a challenging problem, and generating relevant invariants is a key factor in proving the safety properties of a program. Program invariants can be obtained by various approaches, including lightweight procedures based on data-flow analysis and intensive techniques using Craig interpolation. Although data-flow analysis runs efficiently, it often produces invariants that are too weak to prove the properties. By contrast, interpolation-based approaches build strong invariants from interpolants, but they might not scale well due to expensive interpolation procedu
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Heuer, Jan, and Christoph Wernhard. "Synthesizing Strongly Equivalent Logic Programs: Beth Definability for Answer Set Programs via Craig Interpolation in First-Order Logic." In Automated Reasoning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63498-7_11.

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AbstractWe show a projective Beth definability theorem for logic programs under the stable model semantics: For given programs P and Q and vocabulary V (set of predicates) the existence of a program R in V such that $$P \cup R$$ P ∪ R and $$P \cup Q$$ P ∪ Q are strongly equivalent can be expressed as a first-order entailment. Moreover, our result is effective: A program R can be constructed from a Craig interpolant for this entailment, using a known first-order encoding for testing strong equivalence, which we apply in reverse to extract programs from formulas. As a further perspective, this a
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Smith, Kaleb E., Phillip Williams, Tatsanee Chaiya, and Max Ble. "Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93000-8_21.

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Chen, Sulin, and Jingbin Wang. "A Survey on Temporal Knowledge Graphs-Extrapolation and Interpolation Tasks." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20738-9_110.

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Su, Jie, Zuchao Yang, Hengrui Xing, Jiyu Yang, Cong Tian, and Zhenhua Duan. "PIChecker: A POR and Interpolation based Verifier for Concurrent Programs (Competition Contribution)." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30820-8_38.

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Abstract is a tool for verifying reachability properties of concurrent C programs. It moderates the trace-space explosion problem, aggravated by thread alternation, through utilizing the PC-DPOR and C-Intp techniques. The PC-DPOR technique constructs a constrained dependency graph to refine dependencies between transitions. With this basis, the inherent imprecision of the dependence over-approximation can be overcome. Thereby, many redundant equivalent traces are prevented from being explored. On the other hand, the C-Intp technique performs conditional interpolation to confine the reachable r
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Ciulla, Carlo. "Magnetic Resonance Imaging and the Signal-Image Processing Techniques Developed Under the Umbrella of the Unifying Theory." In Improved Signal and Image Interpolation in Biomedical Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-202-2.ch001.

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The forthcoming text of this chapter is intended to raise the debate about the content of the book. To fulfill this purpose, is presented in first instance a section that summarizes on how the literature is reviewed throughout the book and also the MRI database employed to validate the unifying theory. Following this presentation, the chapter introduces to the reader the concept behind the basic issue relating to signal-image interpolation, which is the preservation of the signal (image) energy after processing with interpolation. This concept is strictly related to the approximation propertie
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Conference papers on the topic "Task of interpolation"

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Wang, Dingmin, Przemysław Andrzej Wałęga, and Bernardo Cuenca Grau. "MTLearn: Extracting Temporal Rules Using Datalog Rule Learners." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/90.

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We propose a framework for temporal rule learning from datasets, which capitalises on the availability of increasingly mature Datalog rule learners. Our approach is based on the idea of splitting a temporal dataset into windows, extracting static rules from each window with an off-the-shelf Datalog rule learner, and then combining the obtained static rules into temporal rules corresponding to the whole dataset. Temporal rules generated by our approach are expressed in DatalogMTL and are assigned time-sensitive confidence scores. We have implemented our approach in a system MTLearn compatible w
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Pfändler, Patrick, and Ueli Angst. "Machine Learning Based NDT Data Fusion to Detect Corrosion in Reinforced Concrete Structures with Inspection Data." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16392.

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Abstract The key idea is to deliver an automated, machine-learning (ML) based algorithm to combine the results from different non-destructive testing (NDT) measurements on a reinforced concrete wall in order to generally improve the reliability of the corrosion assessment. To this aim, a set of data was acquired with various NDT methods. The data include concrete cover measurements, half-cell potential mapping data, electrical resistance measurements (Wenner probe) in different grid sizes, and images from the concrete surface. After registration and preprocessing (interpolations and feature sc
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Ryseck, Peter, Racheal Erhard, Michael Cunningham, Feyyaz Guener, Monica Londono, and Zouhair Mahboubi. "Gaussian Process Surrogate Model for eVTOL Propeller Aerodynamics." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-397.

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Gaussian Process Regression (GPR) is a flexible, non-parametric machine learning method well-suited for regression tasks. In the context of modeling aerodynamic propellers, GPR significantly reduces the amount of computationally expensive training data needed compared to simpler interpolation or curve-fitting approaches for the same level of accuracy. This work explores several strategies for building a surrogate model of an isolated propeller for the Joby Aviation tilt-propeller electric vertical take-off and landing (eVTOL) aircraft. To better capture sharp local variations in output quantit
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Budiwati, Sari Dewi, Al Hafiz Akbar Maulana Siagian, Tirana Noor Fatyanosa, and Masayoshi Aritsugi. "DBMS-KU Interpolation for WMT19 News Translation Task." In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-5309.

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Grevera, George J., Jayaram K. Udupa, and Yukio Miki. "Task-specific evaluation of 3D image interpolation techniques." In Medical Imaging '98, edited by Yongmin Kim and Seong K. Mun. SPIE, 1998. http://dx.doi.org/10.1117/12.312512.

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Ge, Q. J., and Donglai Kang. "Motion Interpolation With G2 Composite Bézier Motions." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0060.

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Abstract This paper deals with smooth motion interpolation. Recently, a direct construction algorithm was developed for designing piecewise parametric motions with second order geometric continuity (G2). The present paper provides a refined version of the G2 spline algorithm and shows how the G2 spline motion can be used to fulfill the task of motion interpolation by solving the problem of inverse design for the G2 spline motion. The results are useful for computer aided motion animation, and Cartesian trajectory generation for CNC machines and robot manipulators.
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Laha, Riddhiman, Anjali Rao, Luis F. C. Figueredo, Qing Chang, Sami Haddadin, and Nilanjan Chakraborty. "Point-to-Point Path Planning Based on User Guidance and Screw Linear Interpolation." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71814.

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Abstract Despite the increasing number of collaborative robots in human-centered manufacturing, currently, industrial robots are still largely preprogrammed with very little autonomous features. In this context, it is paramount that the robot planning and motion generation strategies are able to account for changes in production line in a timely and easy-to-implement fashion. The same requirements are also valid for service robotics in unstructured environments where an explicit definition of a task and the underlying path and constraints are often hard to characterize. In this regard, this pa
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Perez, Alba, Hai-Jun Su, and J. Michael McCarthy. "Synthetica 2.0: Software for the Synthesis of Constrained Serial Chains." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57524.

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A spatial linkage is defined by a workpiece supported by one or more serial chains. We say that the spatial linkage can perform a given task when this task belongs to its workspace. A task can be specified as a discrete set of positions or as a set of curves or surfaces. Spatial serial chains can be synthesized to perform specified tasks, and combined to form more complicated linkages. Recently we developed Synthetica 1.0, a Java-based architecture for the computer-aided-design of spatial linkages that contains task definition and visualization, and linkage visualization, analysis and synthesi
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Lujan, Alan. "multinterp." In Python in Science Conference. SciPy, 2024. http://dx.doi.org/10.25080/fgcj9164.

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Multivariate interpolation is a fundamental tool in scientific computing used to approximate the values of a function between known data points in multiple dimensions. Despite its importance, the Python ecosystem offers a fragmented landscape of specialized tools for this task. This fragmentation hinders code reusability, experimentation, and efficient deployment across diverse hardware. The multinterp package was developed to address this challenge. It provides a unified interface for various grids used for interpolation (regular, irregular, and curvilinear), supports multiple backends (CPU,
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Tian, Haoyue, Pan Gao, and Xiaojiang Peng. "Video Frame Interpolation Based on Deformable Kernel Region." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/188.

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Video frame interpolation task has recently become more and more prevalent in the computer vision field. At present, a number of researches based on deep learning have achieved great success. Most of them are either based on optical flow information, or interpolation kernel, or a combination of these two methods. However, these methods have ignored that there are grid restrictions on the position of kernel region during synthesizing each target pixel. These limitations result in that they cannot well adapt to the irregularity of object shape and uncertainty of motion, which may lead to irrelev
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Reports on the topic "Task of interpolation"

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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