[PDF] Top 20 Historia y Desarrollo de La Ganaderia en México
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A Nonparametric Statistical Approach to Clustering via Mode Identification
... the mode of a cluster displayed with the dimension index as the horizontal axis and the value in that dimension as the vertical ...a mode as a curve in this study because the experiments were conducted ... See full document
6
Spatial and Statistical Clustering Based Regionalization of Precipitation and Trend Identification in Pranhita Catchment, India
... The procedure used to fill the missing values did not produce any significant difference for a majority of stations (96%). Out of 117 stations, only 5 stations fell in different regions when original and filled datasets ... See full document
87
Structural deterioration detection using enhanced autoregressive residuals
... deterioration identification method is a parametric-based approach, incorporated with a nonparametric statistical test, to capture changes in the dynamic characteristics of ...applying ... See full document
22
Advances in Nonparametric Bayesian Methods for Clustering and Classification.
... several nonparametric Bayesian tech- niques are presented for classification and ...requires statistical methods to quickly and accurately flag malicious ...a nonparametric Bayesian approach ... See full document
9
Addendum to: An Approach to Hierarchical Clustering via Level Surfaces and Convexity
... level-sets approach to hierarchical clustering where the underlying density function is formed as the sum of identical radial basis functions centered at the data points in either Euclidean or Manhattan ... See full document
22
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
... Another category of the unsupervised method makes use of additional information (Dong et al. 2018b; Peng et al. 2016; Deng et al. 2018; Li and Tang 2015). Recently, cross- domain transfer learning is used in the ... See full document
6
A nonparametric approach for quantile regression
... 1. Monte Carlo simulations will be performed to confirm the better efficiency of the new direct QR estimator relative to the regular QR estimator and a nonparametric LPQR. 2. The new proposed method will be ... See full document
82
Contact-based ligand-clustering approach for the identification of active compounds in virtual screening
... final clustering algorithm included three steps: (1) first round of clustering, (2) contact filtering, and (3) second round of ...the clustering results without influencing the SOM ... See full document
132
Tests of Mutual or Serial Independence of Random Vectors with Applications
... spectral approach is also proposed by Zhang et ...spectral approach to approximate (15) is appropriate for large sample sizes and kernels with an eigenspectrum which decays very rapidly such as the Gaussian ... See full document
62
Improvements for electromechanical oscillation mode estimation via subspace identification methods
... proposed mode matching method can help tell the frequency neighboring modes ...apart. Mode shapes of each estimated mode are shown and compared with the reference ones in Figure ...of mode ... See full document
281
Gas chromatography–mass spectrometry system applied to determine botanical origin of various types of edible vegetable oils
... (IC) mode, combined with multivariate clustering, was employed in the ...IC-GC/MS approach with cluster analysis could be a useful tool in rapid screening for botanical origin of commercial samples ... See full document
6
Modelling via normalisation for parametric and nonparametric inference
... model via direct normalisation, a data augmentation scheme will allow us to perform slice sampling for simulating from the full conditional distributions of some parameters in a natural ... See full document
103
Design and Analysis of a Quantum Circuit to Cluster a Set of Data Points
... The outline of the paper is as follows. In Section 1 and 2, we review basics of quantum information processing and some existing quantum clustering approaches. In Section 3, we introduce our proposed work using ... See full document
10
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
... necessarily imply a good density derivative estimator in many practical situations. For example, small random fluctuations in a density estimate can create fake modes and may produce large errors in density-derivative ... See full document
8
A nonparametric hypothesis test via the Bootstrap resampling
... Recently, there has been wide interest in testing the signi…cance of a subset of explanatory variables through a nonparametric regression technique. Although this technique generates estimates robust to ... See full document
70
Identifying Moving Objects Using Background Subtraction, Optical Flow Method, Deep Neural Network for Camera in Motion Using PYNQ Architecture: Review of Recent Research Trends
... Younis et al. [4] presents an optical flow based recognition systems which classify the movement of a wearable camera continuously. Camera motion type (CMT) was named either stationary, moving left, moving right, moving ... See full document
12
Comparative Study on Ovarian Follicle Detection Using Segmentation Techniques
... image clustering approach for follicles segmentation using Particle Swarm Optimization (PSO) method with a new modified nonparametric fitness function which uses Mean Structural Similarity Index ... See full document
75
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
... In most sample size/power calculations, some pilot data are needed to provide reasonable estimates of some parameters needed for subsequent calculations. An alternative is to obtain reasonable estimates from other ... See full document
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