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A simultaneous sample-and-filter strategy for robust multi-structure model fitting [PDF]
In 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
Tat-Jun Chin, David Suter
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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.
T Rodrigues, Y Fan
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Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data
IEEE Transactions on Vehicular Technology, 2015This paper presents a method for simultaneous segmentation and modeling of objects, detected in range data gathered by a laser scanner mounted onboard ground-robotic platforms. Superquadrics are used as model for both segmentation and object shape fitting. The proposed method, which we name Simultaneous Segmentation and Superquadrics Fitting, relies on
R Pascoal +2 more
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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
David G Agresti, Perry A Gerakines
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Simultaneous spectrum fitting and baseline correction using sparse representation [PDF]
Simultaneous estimation of the baseline and pure spectrum, and also the representation coefficient is sparse.
Quanjie Han +3 more
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Simultaneous Measurement of Thickness and Permittivity by Means of the Resonant Frequency Fitting of a Microstrip Line Ring Resonator [PDF]
A simultaneous measurement method of the thickness and permittivity of a thin and uniform material which is attached onto the top of a sensor structure is presented.
Sungmook Lim +2 more
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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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