High dimensional
A potential implicit particle method for high-dimensional systems
... for high-dimensional state ...a high-dimensional, lin- ear, Gaussian example, the mixture-based implicit particle smoother does not ...
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A Novel K-Means Based Clustering Algorithm for High Dimensional Data Sets
... Our main objective is proposing a framework to combine relational definition of clustering space and divide and conquer method to overcome aforementioned difficulties and improving efficiency and accuracy in K-Means ...
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USING PENALIZED REGRESSION WITH PARALLEL COORDINATES FOR VISUALIZATION OF SIGNIFICANCE IN HIGH DIMENSIONAL DATA
... method, high-dimensional data are displayed as points on a series of parallel coordinate axes, and relations between pairs of neighboring dimensions are revealed by the pattern of connecting lines between ...
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Defining and evaluating classification algorithm for high-dimensional data based on latent topics.
... achieve high performance using a combination of appropriate features of previous ...with high-dimensional data of user-generated text content, which has wide ranging applications in industry and ...
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Arco: an artificial counterfactual approach for high-dimensional panel time-series data
... a high-dimensional panel of time-series data from a pool of untreated peers, measured before the intervention, and without any stringent assumption about the actual Data Generating Process ...intervention. ...
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COMBINATION OF DIFFERENCE SUBSPACE AND OPPURTUNISTIC CLUSTERING ON HIGH DIMENSIONAL DATA
... that dimensional estimation clusters considerably outperforms difference subspace clustering algorithm especially on high dimensional ...a high quality clusters by detecting the ...
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Asymptotic power of sphericity tests for high-dimensional data
... 1. Introduction. Recently, there has been much interest in testing sphericity in a high-dimensional setting. Various tests have been proposed and analyzed in Ledoit and Wolf (2002), Srivastava (2005), Birke ...
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J. Braz. Comp. Soc. vol.12 número2
... In this study, a new Fisher-based method is proposed. It is based on the straightforward maximum entropy covariance selection approach [23] that overcomes both the singularity and instability of the within-class scatter ...
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Document Clustering Approach Using Internal Criterion Function
... and high dimensional data, which improves the performance of our criterion function for different types of datasets with increasing number of clusters and also improves quality of the ...
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DREAM<sub>(D)</sub>: an adaptive markov chain monte carlo simulation algorithm to solve discrete, noncontinuous, posterior parameter estimation problems
... and high-dimensional model-data synthesis problems. This has stimulated the devel- opment of Markov Chain Monte Carlo (MCMC) methods that generate a random walk through the search (parameter space) and ...
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Dental Press J. Orthod. vol.15 número6 en v15n6a14
... provides high dimensional accuracy of the facial structures and a reliable method for quantifying the behavior of the maxillary halves, tooth inclination, bone formation at the suture in the three planes of ...
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Data embedding techniques in steganography
... Revisited, High – dimensional image models to perform highly undetectable Steganography, the amplitude of histogram local extrema, LSB Matching in image with high – frequency ...
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The onset of data-driven mental archeology
... a high-dimensional model in which the semantic similitude between words is pro- portional to their co-occurrence in texts with coherent topics (Deerwester et ...
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UTILIZAÇÃO DE CINCO ESPÉCIES DE EUCALYPTUS PARA A PRODUÇÃO DE PAINÉIS AGLOMERADOS
... ABSTRACT – The objective of this study was to evaluate the technical feasibility of the use of five Eucalyptus species, originating from plantations with short rotation cycle, for particleboards manufacture. The ...
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Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
... Handling of feature vector is quite unmanageable when its dimensionality is very large. It then becomes important to transform these high dimensional feature vectors to reduced feature space for the ease of ...
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Image Segmentation Using Two Step Splitting Function
... The proposed level set method with diffusion is implemented with two step splitting method. Firstly the energy function is implemented for the proposed method. The energy function shows quite good performance as compared ...
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REM, Int. Eng. J. vol.70 número1
... dimensional models was created in the commercial software ABAQUS (SIMU- LIA, 2007), using 3D frame elements based on the Euler-Bernoulli theory, in order to simulate the modular scaf- folds of the experimental ...
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ENSAIO VISUAL E DIMENSIONAL DE SOLDAS
... Para o ensaio visual e dimensional de juntas preparadas para a soldagem e de juntas soldadas, devem ser utilizados os instrumentos abaixo relacionados que devem [r] ...
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FROM ZERO-DIMENSIONAL TO 2-DIMENSIONAL CARBON NANOMATERIALS - part II: GRAPHENE
... Graphene is known as a high electron mobility material at room temperature, so that the reported value is 15,000 cm 2 V−1s−1. In 2005, Novoselov et al. [10] considered graphene as a condensed-matter system in ...
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Verifications of the high-resolution numerical model and polarization relations of atmospheric acoustic-gravity waves
... amplitudes W at altitudes below 100 km in the upper part of Table 2 compared to that in Table 1. On the other hand, W at altitude 100 km in the upper part of Table 2 is larger than that in Table 1 due to smaller ...
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