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kernel density estimation

Contingent kernel density estimation.

Contingent kernel density estimation.

... normalized density maps ...contingent estimation method, though, we simply used a Gaussian kernel basis for the estimation ...contingent kernel density estimation ...

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Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.

Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.

... Detection of dysphonia is useful for monitoring the progression of phonatory impairment for patients with Parkinson’s disease (PD), and also helps assess the disease severity. This paper describes the statistical pattern ...

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Exploration of diffusion kernel density estimation in agricultural drought risk analysis: a case study in Shandong, China

Exploration of diffusion kernel density estimation in agricultural drought risk analysis: a case study in Shandong, China

... Gaussian kernel density estimation (GKDE) and diffusion kernel density estimation (DKDE) are carried out to analyze the effect of drought intensity and drought ...

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Measuring Urban Renewal: a dual Kernel Density Estimation to assess the intensity of building renovation - case study in Lisbon

Measuring Urban Renewal: a dual Kernel Density Estimation to assess the intensity of building renovation - case study in Lisbon

... as Kernel Density Estimation (KDE) [9,10], have the capacity to overcome incomplete data, providing estimations on the continuous density of the observed ...underlying density that may ...

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O S ATROPELAMENTOS E O USO URBANO NOC ONCELHO DEC

O S ATROPELAMENTOS E O USO URBANO NOC ONCELHO DEC

... o kernel density estimation (KDE), uma técnica de criação de clusters, ou aglomerados, identificando os seus agrupamentos estatísticos, através de uma base de dados dos ...

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Comparing two populations using Bayesian Fourier series density estimation

Comparing two populations using Bayesian Fourier series density estimation

... to kernel density estimation, although both methods often have problems in the estimation of the probability density function near the ...

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Estudos em estimação de densidade por Kernel: métodos de seleção de características e estimação do parâmetro suavizador

Estudos em estimação de densidade por Kernel: métodos de seleção de características e estimação do parâmetro suavizador

... being kernel matrices a well known ...calculated kernel matrix, starting from the hypothesis that those geometric relations are coherent with known ...use kernel density estimation ...

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Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

... FIGURE 1 – I: Location of the study area, State of Rondônia, Brazil. The large red square indicates the State of Rondônia, and the municipality of Humaitá is in green (State of Amazonas). The orange line indicates the ...

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Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

... FIGURE 1 – I: Location of the study area, State of Rondônia, Brazil. The large red square indicates the State of Rondônia, and the municipality of Humaitá is in green (State of Amazonas). The orange line indicates the ...

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Central limit theorem for asymmetric kernel functionals

Central limit theorem for asymmetric kernel functionals

... the density function f uses the appropriate asymmetric kernel estimator, namely the gamma kernel for A = [0, ∞) and the beta kernel for A = [0, ...any kernel density ...

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Nonlinear scaling in social Physics

Nonlinear scaling in social Physics

... probability density obtained by kernel density ...of density maps are cases of low number of fatal events, one or two ...expected density of fatality with the population ...

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INCREMENTAL REFINEMENT OF FAÇADE MODELS WITH ATTRIBUTE GRAMMAR  FROM 3D POINT CLOUDS

INCREMENTAL REFINEMENT OF FAÇADE MODELS WITH ATTRIBUTE GRAMMAR FROM 3D POINT CLOUDS

... Data acquisition using unmanned aerial vehicles (UAVs) has gotten more and more attention over the last years. Especially in the field of building reconstruction the incremental interpretation of such data is a demanding ...

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Kernel smoothing dos dados de chuva no Nordeste.

Kernel smoothing dos dados de chuva no Nordeste.

... O regime de chuvas sobre o Nordeste do Brasil é bastante complexo, sendo considerado sazonal, além de sofrer fortes inluências dos fenômenos El Niño, La Niña e outros sistemas meteorológicos, como o dipolo, atuantes ...

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Nonparametric assessment of hedge fund performance

Nonparametric assessment of hedge fund performance

... To formally test whether this difference in performance is statistically meaningful we implement a paired mean test. Figure 9 plots the cross-sectional kernel density of the estimated t-statistics. This ...

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Apostila Linux Comandos UFSC

Apostila Linux Comandos UFSC

... 7- Selecionar os pacotes que deseja instalar [codigo fonte kernel, emac, gimp,kdevelop,mesa]. Responder a todas as perguntas 8-Aceita a opção que gera um disquete de boot, desta forma você tem um disquete para ...

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Simultaneous QTL detection and genomic breeding value estimation using high density SNP chips

Simultaneous QTL detection and genomic breeding value estimation using high density SNP chips

... 17:15 Nicola Macciotta Prediction of Genomic Breeding Values for a longitudinal trait by using Principal Component Analysis. 17:30 Torben Schulz-Streeck[r] ...

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Population size of Aegla longirostri Bond- Buckup and Buckup, 1994 (Crustacea, Decapoda, Anomura): comparison of methods with the mark-recapture technique in closed population

Population size of Aegla longirostri Bond- Buckup and Buckup, 1994 (Crustacea, Decapoda, Anomura): comparison of methods with the mark-recapture technique in closed population

... higher density of males during the spring, indicating that the animals are more active in this ...the density of males and females at different seasons were also reported for ...

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An Efficient Acoustic Density Estimation Method with Human Detectors Applied to Gibbons in Cambodia.

An Efficient Acoustic Density Estimation Method with Human Detectors Applied to Gibbons in Cambodia.

... Recognising the issue of imperfect detection, [15] employed an alternative technique to esti- mate the listening radius, applying distance sampling methods to estimated distances to detected groups to obtain an estimate ...

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Algorithms for Molecular Biology

Algorithms for Molecular Biology

... Kernel density for L = 4 and S = 1 applied to the concatenation of 20 promoter regions of Bacillus subtilis (see ...The density is displayed both as a 3D bar (top) and as a 2D gray scale heat map ...

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A level set based framework for quantitative evaluation of breast tissue density from MRI data.

A level set based framework for quantitative evaluation of breast tissue density from MRI data.

... segmentation is applied. Second, the obtained breast component is extracted, and the breast-air and breast-body boundaries are refined. Finally, the fibroglandular/ parenchymal tissue volume is extracted from the breast ...

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