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Simultaneous fitting of Bayesian penalised quantile splines
Computational Statistics and Data Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thais Rodrigues, Yanan Fan
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Simultaneous fitting of Mars Mössbauer data
Hyperfine Interactions, 2008Mossbauer spectra acquired by the Mars Exploration Rovers (MERs) often have low statistics with overlapped component spectra, making it difficult to fit individual spectra for all hyperfine or other parameters. When a set of spectra is complementary in the sense that components are weak in one and strong in another, analyzing the spectra simultaneously
Perry A Gerakines, David G Agresti
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Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiple-structure data even in the presence of a large number of outliers. Our framework contains a novel scale estimator called Iterative Kth Ordered Scale Estimator (IKOSE).
Hanzi Wang, Tat-Jun Chin, David Suter
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Abstract: Automated Fitting of MIRT Models by a Simultaneous Perturbation Algorithm
Multivariate Behavioral Research, 2014Item factor analysis (IFA) is a useful technique for studying the structure of latent variables measured by psychological tests.
Scott, Monroe, Li, Cai
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Simultaneous spectrum fitting and baseline correction using sparse representation
The Analyst, 2017Simultaneous estimation of the baseline and pure spectrum, and also the representation coefficient is sparse.
Quanjie Han +3 more
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Simultaneous pattern recognition and track fitting by the Kalman filtering method
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1990Abstract A progressive pattern recognition algorithm based on the Kalman filtering method has been tested. The algorithm starts from a small track segment or from a fitted track of a neighbouring detector, then extends the candidate tracks by adding measured points one by one. The fitted parameters and weight matrix of the candidate track are updated
Billoir, P., Qian, S.
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Fitting a Single Active Appearance Model Simultaneously to Multiple Images
Procedings of the British Machine Vision Conference 2004, 2004Active Appearance Models (AAMs) are a well studied 2D deformable model. One recently proposed extension of AAMs to multiple images is the CoupledView AAM. Coupled-View AAMs model the 2D shape and appearance of a face in two or more views simultaneously.
Changbo Hu +5 more
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A simultaneous sample-and-filter strategy for robust multi-structure model fitting
Computer Vision and Image Understanding, 2013In many robust model fitting methods, obtaining promising hypotheses is critical to the fitting process. However the sampling process unavoidably generates many irrelevant hypotheses, which can be an obstacle for accurate model fitting. In particular, the mode seeking based fitting methods are very sensitive to the proportion of good/bad hypotheses for
David Suter, Tat-Jun Chin, Hoi Sim Wong
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2013
An accurate determination of the angle \(\gamma \) of the Unitary Triangle is one of the most important goals of the LHCb experiment. The LHCb detector is a single-arm spectrometer at the LHC, optimised for beauty and charm flavour physics. As the angle \(\gamma \) is the least experimentally constrained parameter of the Unitary Triangle, its precise ...
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An accurate determination of the angle \(\gamma \) of the Unitary Triangle is one of the most important goals of the LHCb experiment. The LHCb detector is a single-arm spectrometer at the LHC, optimised for beauty and charm flavour physics. As the angle \(\gamma \) is the least experimentally constrained parameter of the Unitary Triangle, its precise ...
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Simultaneous Multi-Surface Fitting for Vessel Wall Layer Delineation
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019Intravascular optical coherence tomography (OCT) provides high-resolution images of arterial cross-sections, offering rich information on vessel morphology and disease state. The detection of the media layer is crucial for improving quantitative analyses, including plaque characterization.
Max L. Olender +4 more
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