Relevant bibliographies by topics / Multiresolution Regression

Contents

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

Academic literature on the topic 'Multiresolution Regression'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Multiresolution Regression"

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Schiavazzi, Daniele, Alireza Doostan, and Gianluca Iaccarino. "SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION." International Journal for Uncertainty Quantification 4, no. 4 (2014): 303–31. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2014010147.

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Lone, Waseem, and Firdous Shah. "Special affine biorthogonal wavelets on R and logarithmic regression curves." Filomat 37, no. 19 (2023): 6289–306. http://dx.doi.org/10.2298/fil2319289l.

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In the article ?Special affine multiresolution analysis and the construction of orthonormal wavelets in L2(R)?, [Appl Anal. 2022; D.O.I: 10.1080/00036811.2022.2030723], we introduced the notion of multiresolution analysis (MRA) in the realm of the special affine Fourier transform. In continuation to the study, our aim is to present the construction of special affine biorthogonal wavelets in L2(R). Besides, we provide a complete characterization for the biorthogonality of the translates of the scaling functions of two special affine MRA?s and the associated special affine biorthogonal wavelet f
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Wang, Peng, Hongyu Yao, Cai Li, Gong Zhang, and Henry Leung. "Multiresolution Analysis Based on Dual-Scale Regression for Pansharpening." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1–19. http://dx.doi.org/10.1109/tgrs.2021.3131477.

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Subha, A., and S. Lenty Stuwart. "Linear Regression Model on Multiresolution Analysis for Texture Classification." International Journal of Computer Applications 2, no. 4 (2010): 1–8. http://dx.doi.org/10.5120/662-1056.

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Yuen, Ka-Veng, and Gilberto A. Ortiz. "Multiresolution Bayesian nonparametric general regression for structural model updating." Structural Control and Health Monitoring 25, no. 2 (2017): e2077. http://dx.doi.org/10.1002/stc.2077.

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Mildenberger, Thoralf. "A geometric interpretation of the multiresolution criterion in nonparametric regression." Journal of Nonparametric Statistics 20, no. 7 (2008): 599–609. http://dx.doi.org/10.1080/10485250802360994.

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Katkovnik, V. "A Multiresolution Nonparametric Regression for Spatially Adaptive Image De-Noising." IEEE Signal Processing Letters 11, no. 10 (2004): 798–801. http://dx.doi.org/10.1109/lsp.2004.835480.

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Zhang, Hankui, and Bo Huang. "Support Vector Regression-Based Downscaling for Intercalibration of Multiresolution Satellite Images." IEEE Transactions on Geoscience and Remote Sensing 51, no. 3 (2013): 1114–23. http://dx.doi.org/10.1109/tgrs.2013.2243736.

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Katkovnik, Vladimir. "Multiresolution local polynomial regression: A new approach to pointwise spatial adaptation." Digital Signal Processing 15, no. 1 (2005): 73–116. http://dx.doi.org/10.1016/j.dsp.2004.06.004.

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Wang, Shumeng, Huiqi Li, Jiazhi Li, Yanjun Zhang, and Bingshuang Zou. "Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting." Journal of Healthcare Engineering 2018 (November 19, 2018): 1–15. http://dx.doi.org/10.1155/2018/1797502.

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Cephalometric analysis is a standard tool for assessment and prediction of craniofacial growth, orthodontic diagnosis, and oral-maxillofacial treatment planning. The aim of this study is to develop a fully automatic system of cephalometric analysis, including cephalometric landmark detection and cephalometric measurement in lateral cephalograms for malformation classification and assessment of dental growth and soft tissue profile. First, a novel method of multiscale decision tree regression voting using SIFT-based patch features is proposed for automatic landmark detection in lateral cephalom
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Dissertations / Theses on the topic "Multiresolution Regression"

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Li, Housen. "Variational Estimators in Statistical Multiscale Analysis." Doctoral thesis, 2016. http://hdl.handle.net/11858/00-1735-0000-0028-875F-F.

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Reis, Marco Paulo Seabra. "Monitorização, modelação e melhoria de processos químicos : abordagem multiescala baseada em dados." Doctoral thesis, 2006. http://hdl.handle.net/10316/7375.

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Tese de doutoramento em Engenharia Química (Processos Químicos) apresentada à Faculdade de Ciências e Tecnologia da Univ. de Coimbra<br>Processes going on in modern chemical processing plants are typically very complex, and this complexity is also present in collected data, which contain the cumulative effect of many underlying phenomena and disturbances, presenting different patterns in the time/frequency domain. Such characteristics motivate the development and application of data-driven multiscale approaches to process analysis, with the ability of selectively analyzing the information
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(8300103), Shams R. Rahmani. "Digital Soil Mapping of the Purdue Agronomy Center for Research and Education." Thesis, 2020.

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This research work concentrate on developing digital soil maps to support field based plant phenotyping research. We have developed soil organic matter content (OM), cation exchange capacity (CEC), natural soil drainage class, and tile drainage line maps using topographic indices and aerial imagery. Various prediction models (universal kriging, cubist, random forest, C5.0, artificial neural network, and multinomial logistic regression) were used to estimate the soil properties of interest.
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Book chapters on the topic "Multiresolution Regression"

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Han, Feng-Qing, Da-Cheng Wang, Chuan-Dong Li, and Xiao-Feng Liao. "A Multiresolution Wavelet Kernel for Support Vector Regression." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759966_150.

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Aràndiga, Francesc, Pep Mulet, and Dionisio F. Yáñez. "Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$ ℓ 1 -norm Minimization with Application to Signal Processing." In Curves and Surfaces. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22804-4_2.

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Conference papers on the topic "Multiresolution Regression"

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Zhang, Clark, Masahiro Ono, and Ravi Lanka. "Multiresolution partitioned Gaussian process regression for terrain estimation." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396763.

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Liu, Xu, Decai Li, and Yuqing He. "Multiresolution Representations for Large-Scale Terrain with Local Gaussian Process Regression." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9562039.

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Lewis, Virgil S. "Band sharpening technique for multiresolution spectral data sets using regression residuals." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Sylvia S. Shen and Michael R. Descour. SPIE, 2001. http://dx.doi.org/10.1117/12.437051.

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Orta Aleman, Dante, and Roland Horne. "Well Interference Detection from Long-Term Pressure Data Using Machine Learning and Multiresolution Analysis." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206354-ms.

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Abstract Knowledge of reservoir heterogeneity and connectivity is fundamental for reservoir management. Methods such as interference tests or tracers have been developed to obtain that knowledge from dynamic data. However, detecting well connectivity using interference tests requires long periods of time with a stable reservoir pressure and constant flow-rate conditions. Conversely, the long duration and high frequency of well production data have high value for detecting connectivity if noise, abrupt changes in flow-rate and missing data are dealt with. In this work, a methodology to detect i
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Hrustemovic, Nasiha, and Maya R. Gupta. "Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management." In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4711800.

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You might also be interested in the extended bibliographies on the topic 'Multiresolution Regression' for particular source types:
Journal articles
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