Results 211 to 220 of about 95,614 (254)

Multi-representation thermal features for enhanced defect analysis in pulse thermography. [PDF]

Sci Rep
Salah M, Werghi N, Svetinovic D, Sfarra S, Abdulrahman Y.   +4 more
europepmc   +1 more source

Synchronizing Tunable Luminescence and Shape Morphing in a Metal Nanocluster-Enabled Hydrogel Platform. [PDF]

Adv Mater
Lin H, Huang Z, He Y, Wei H, Yang Z, Hu Z, Zhou Y, Song X, Han S, Xie J.   +9 more
europepmc   +1 more source

Development of a Midinfrared Cavity Ring-Down Spectrometer for High-Precision Analysis of Carbon Dioxide Clumped Isotopic Compositions. [PDF]

Anal Chem
Liu N, Tsuge K, Terabayashi R, Abe O, Uemura R, Tomita H.   +5 more
europepmc   +1 more source

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Simultaneous fitting of Mars Mössbauer data

Hyperfine Interactions, 2008
Mossbauer 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 Gerakines, David G Agresti
exaly   +2 more sources

Simultaneous fitting of Bayesian penalised quantile splines

Computational Statistics and Data Analysis, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thaïs Rodrigues, Yanan Fan
exaly   +4 more sources

Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data

IEEE Transactions on Vehicular Technology, 2015
This 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
Premebida C, Urbano J Nunes, R Pascoal
exaly   +2 more sources

A simultaneous sample-and-filter strategy for robust multi-structure model fitting

Computer Vision and Image Understanding, 2013
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
David Suter, Tat-Jun Chin
exaly   +3 more sources

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
We 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
openaire   +3 more sources

Abstract: Automated Fitting of MIRT Models by a Simultaneous Perturbation Algorithm

Multivariate Behavioral Research, 2014
Item factor analysis (IFA) is a useful technique for studying the structure of latent variables measured by psychological tests.
Scott, Monroe, Li, Cai
openaire   +2 more sources