simulation-based statistical estimation
Probabilistic-based approach using Kernel Density Estimation for gap modeling in a statistical tolerance analysis
... The statistical tolerancing is widely used because it leads to large tolerances and allows practitioner to get a desire yield and low production cost ...The statistical tolerance analysis can be achieved ...
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Probabilistic-based approach using Kernel Density Estimation for gap modeling in a statistical tolerance analysis
... The statistical tolerancing is widely used because it leads to large tolerances and allows practitioner to get a desire yield and low production cost ...The statistical tolerance analysis can be achieved ...
20
A statistical tolerance analysis approach for over-constrained mechanism based on optimization and Monte Carlo simulation
... Carlo simulation . . . ) are available for estimation of the prob- ability distribution of Y and the probability of the respect to the geometrical requirement [ 13 ...accumulation. Based on the ...
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Gear metrology of statistical tolerancing by numerical simulation
... meshing simulation, a simulated kinematic error, based on the set of points of the CMM’s measurement of a pair of gears, has been compared to an experimental kinematic error of this same pair of ...The ...
8
Probabilistic atlas statistical estimation with multimodal datasets and its application to atlas based segmentation
... the simulation step by distributing one image per processor, which makes it possible to use more training data for the atlas construction within fixed computational ...
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Hemodynamic estimation based on Consensus Clustering
... HRF estimation. To do so, we relied on a Joint-Detection-Estimation (JDE) framework that enables robust detection of brain activity as well as HRF estimation, in a Bayesian setting ...techniques ...
5
Manageable Phrase-based Statistical Machine Translation Models
... average per-sentence vocabulary by nearly an order of magnitude, greatly improving the effectiveness of LM filtering. The table also shows processing time. Finally, we carried out experiments to measure the impact of LM ...
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Wavelet-based fluid motion estimation
... optical-flow estimation procedure based on a wavelet expansion of the velocity ...multi-resolution estimation algorithms, which avoids some of the drawbacks of the usual ...algorithms based on ...
13
Gender estimation based on smile-dynamics
... III. U V A-NEMO S MILE -D ATASET The UvA-NEMO Smile Dataset 6 , introduced by Dibeklio˘glu et al. [28], consists of multiple video sequences of 400 subjects (185 females, 215 male). The age of the subjects ranges from 8 ...
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Integral estimation based on Markovian design
... Key-words: Integral approximation; Markov chains; Nummelin splitting technique; invariant den- sity estimation; kernel smoothing. 1 Introduction For the last decades, climate scientists have been interested in the ...
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Statistical Estimation of Genomic Tumoral Alterations
... Using microarrays one can detect genomic alterations such as copy-number variation and allele-imbalance. Having at hand two microarrays, one for the tumor, the other for the normal tissue, one can get rid of the unknown ...
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MRA-based statistical learning from incomplete rankings
... as incomplete rankings. The case k = 2 corresponds to the setting of pairwise comparisons, the most widely con- sidered in the literature (e.g. Wauthier et al. , 2013 ; Busa- fekete et al. , 2014 ; Rajkumar & Agarwal ...
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Hybrid Statistical Estimation of Mutual Information for Quantifying Information Flow
... of the estimate. The results are also used to adaptively find the optimal sample sizes for different components in the statistical analysis. Moreover, we have shown how to reduce sample sizes by using prior ...
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Statistical Information Propagation Across Operators for Dynamic Power Estimation on FPGAs
... are based on a ran- domly generated input patterns and consist in monitoring power dissipation through a specific power ...proposed, based on real measurements, which al- lows to model power consumption ...
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Automated fish age estimation from otolith images using statistical learning
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou ...
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Statistical motion-based video indexing and retrieval
... These remarks led to consider another category of methods providing attractive analysis of motion information in the context of content-based video indexing. Our goal is to cope with the interpretation of dynamic ...
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Statistical model for simulation of deformable elastic endometrial tissue shapes
... Abstract Statistical shape analysis plays a key role in various medical imaging ...for statistical shape analysis of elastic parametrized surfaces to simulation of realistic en- dometrial tissue ...
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Statistical estimation of a growth-fragmentation model observed on a genealogical tree
... In order to quantitatively fit experimental observations and thus validate the relevance of the models, developing new and well-adapted statistical methods appears to be one of the major challenge for the coming ...
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Statistical efficiency of structured cpd estimation applied to Wiener-Hammerstein modeling
... the estimation of a complex CPD with a particular Vandermonde factor has been derived in [12], motivated by the problem of estimating the directions of arrival of multiple source ...the estimation of a CPD ...
6
Numerical simulation of metal forming processes with 3D adaptive Remeshing strategy based on a posteriori error estimation
... 20 7 CONCLUSION In this paper, an automatic adaptive remeshing method based on local mesh modification has been presented to simulate various 3D metal forming processes in large elastoplastic deformations. This ...
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