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Showing 1 to 20 of 62 for “"mahalanobis"”.
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Robust Mahalanobis distance in power systems state estimation
… state estimation. These distances, called robust Mahalanobis distances, can be used as weight functions to robustify the residuals of both the M-estimators and the least median of squares estimators for outlier diagnostics. They can also be used for leverage diagnostics and for alleviating the …
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Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
… even more robust approach by incorporating the Mahalanobis distance-based kernel (hereinafter referred to as Mahalanobis kernel) to SVDD and compare it with SVDD using the traditional Gaussian kernel. Method's sensitivity is benchmarked by Average Run Lengths obtained from multiple Monte Carlo …
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Potential Silvicultural Effects on Bald Eagle Nesting Substrate and Economic Yields at a Navy Installation in the Chesapeake Bay: An Approach Using the Forest Vegetation Simulator and Mahalanobis Distance
… habitat at Naval Support Facility Indian Head. Mahalanobis distance was used to define and classify preferred nesting substrate. Silviculture was simulated using the Forest Vegetation Simulator (FVS) to assess forest nesting substrate, economic yields and the tradeoffs between these two …
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A Comparison of Presence Only Suitability Models to Accurately Identify Prehistoric Agricultural Fields in Western New Mexico Through Remote Sensing
… on a small training data sample. Three models: Mahalanobis Technicality, Maximum Entropy (Maxent), and Multi-Criteria Evaluation Ordered Weighted Average (MCE OWA) were used and the suitability raster results were compared. Area Under the Curve (AUC) values were calculated and used to validate …
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Identificação de outliers multivariados - Uma aplicação em dados de saúde
… de identificação de outliers via Distância de Mahalanobis. Para geração dos dados utilizou-se simulação através do Método de Monte Carlo e a técnica de mistura de distribuições normais multivariadas. Os resultados apresentados nas simulações mostram que o método proposto foi superior ao método …
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Habitat Niche Modeling in the Texas Horned Lizard (Phrynosoma cornutum): Applications to Planned Translocation
… habitat suitability using the partitioned Mahalanobis distance statistic, which is a suitable model technique for presence-only data. Translocated and resident lizards were monitored via radiotelemetry and using fluorescent powder trails. Telemetry locations and powder trails were overlaid …
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Multifidelity Covariance Estimation Three Ways
… by minimizing an intrinsic notion of squared Mahalanobis distance between the data and a model for its variation about its mean. The resulting estimates are guaranteeably positive definite and the Mahalanobis distance which they minimize has desirable properties, including tangent-space …
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Predicting Retinal Ganglion Cell Responses Based on Visual Features via Graph Filters
… nodes' feature vectors which is computed via the Mahalanobis distance and its metric matrix. The metric matrix is learned using labeled training data. Unknown labels are then estimated using the optimized metric and the similarity graph. The main advantage of our model is enabling interpretations …
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Developing a quality score methodology for financial reporting
… by using Multivariate tools and techniques. Mahalanobis- Taguchi Strategy (MTS) and Principal Component Analysis (PCA) were used to come up with the measurement scale to distinguish the good and bad SARs and PCA was used to list the critical elements that were listed by the MTS approach. The …
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Modeling Vessel Behaviours By Clustering Ais Data Using Optimized DBSCAN
… DBSCAN clustering performance by integrating the Mahalanobis Distance metric that considers the correlations of the points representing the locations of the vessels. The clustering method is applied to historical Automatic Identification System (AIS) data and generates an action recommendation …
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Contribution au classement des fruits par analyse d'images numériques. Application au tri en ligne des pommes Golden delicious et Jonagold.
… detection was carried out by computing the Mahalanobis distance separating a pixel's colour and the mean colour of the fruit. For Jonagold apples, having a multimodal colour frequency distribution, the defect location was based on a non-parametric model of the fruit colour and on Bayes' …
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Events prediction in electroencephalographic signals
… Methods using wavelet modulus maxima, the Mahalanobis distance, and bootstrapping of the Mahalanobis distance were developed for event detection. The data was analysed over a frequency range from 0.1 Hz to 25 Hz, covering the Slow Cortical Potentials (SCP), Mu and Beta frequency bands.The …
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Design and Clinical Evaluation of a Digital Transtibial Prosthetic Interface
… The kinematic results in this study use the Mahalanobis distance to evaluate difference in gait asymmetry resulting from conventional and novel prosthetic interfaces. The distance is calculated using asymmetries for step time, swing time, and peak impact ground reaction force. No subjects …
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Factors Affecting the Design and Use of Reusable Components
… easily reusable were also identified. The Mahalanobis-Taguchi Strategy (MTS) was employed to develop a model based on Mahalanobis Distance to identify the factors that can detect if a component is easy to reuse or not. The identified factors within the model are: size of a component, a set …
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DEVELOPMENT OF SIMILARITY SCORING TECHNIQUES FOR MOTOR VEHICLE CRASH COMPARISONS
… regions in real-world motor vehicle crashes. Mahalanobis scoring revealed that NASS-CDS cases were most similar to FMVSS 214 crash tests and were least similar to IIHS frontal crash tests. Overall, this work provided novel methods for evaluating vehicle crashworthiness and analyzing safety …
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Caracterização de variedades de Cannabis sativa L. cultivadas no Brasil para uso medicinal e industrial
… genéticas entre elas, através da distância de Mahalanobis. Para os fatores de comportamento agronômico, de produtividade e concentração de canabinoides foram identificados 2 grupos divergentes. Para os fatores biométricos e características físico químicas das fibras foram identificados 3 grupos …
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Integral Quadratic Constraints and Safety Certificates for Uncertainty Characterization and Control Safety-Aware Filtering of Proximity Operations Between Satellites
… worst bounds recommendation, miss distance, Mahalanobis distance, and Probability of Collision (Pc) metrics. Innovative deterministic reachability methods based on integral quadratic constraints and neural Lyapunov functions are compared and connected. The novel contributions of this work …
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Quantitative assessment of daily urinary conjugates in an adult male population
… principal component analysis (princomp); Mahalanobis distance (distquan). The four methods were compared. In summary, conjugate excretion levels were found to be sensitive to dietary changes, with some pathways more responsive than others. Also, the princomp and distquan methods were …
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Algorithms and software for efficient tensor decompositions
… for exact CP rank tensors. By leveraging a Mahalanobis norm formulation, we propose a method that interpolates between classical Alternating Least Squares (ALS) and a new Alternating Mahalanobis Distance Minimization (AMDM). We evaluate the performance of this hybrid method by comparing it …
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Robust estimation, regression and ranking with applications in portfolio optimization
… model with a loss function on the weighted Mahalanobis distances and show that the problem is equivalent to a system of equations and can be solved using the Newton-Raphson method. The problem can also be transformed into an SDP problem from which we can flexibly incorporate prior beliefs …
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