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Showing 1 to 20 of 41 for “"mahalanobis distance"”.
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Robust Mahalanobis distance in power systems state estimation
… robust method for estimating the standardized distances of the data points associated with the weighted Jacobian matrix in power system state estimation. These distances, called robust Mahalanobis distances, can be used as weight functions to robustify the residuals of both the M-estimators and …
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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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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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Habitat Niche Modeling in the Texas Horned Lizard (Phrynosoma cornutum): Applications to Planned Translocation
… such as vegetative components, Euclidean distance statistics, neighborhood analyses, and topographically-derived information. Mechanistic data layers were estimates of thermal suitability derived from field-collected datasets and biophysical calculations, and estimates of prey availability …
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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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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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Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
… Among the most popular choices is the Euclidean distance-based Gaussian kernel, which enables SVDD to obtain a flexible data description, thus enhances its overall predictive capability. This thesis explores an even more robust approach by incorporating the Mahalanobis distance-based kernel …
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Integral Quadratic Constraints and Safety Certificates for Uncertainty Characterization and Control Safety-Aware Filtering of Proximity Operations Between Satellites
… (IQCs) 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 …
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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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DeepSampling: Image Sampling Technique for Cost-Effective Deep Learning
… The clustering techniques are based on Mahalanobis distance metric and use t-SNE (T-distributed Stochastic Neighbor Embedding), to overcome the data skewness and sparseness issues. The proposed DeepSampling technique for cost-effective deep learning has been evaluated with three Deep …
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The evaluation of the impact of risk disclosure and bank-level stability: an empirical study of European and US banks
… but close to sanctioned banks (measured using Mahalanobis distance) increase their disclosure level when their close competitors are subjected to enforcement action. This thesis also confirms that lower-disclosing banks have a higher probability that they have already transferred some cash from …
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Near-Infrared Analysis and Process Control of Pharmaceutical Pelletization Processes
… polymer solids was also accomplished using Mahalanobis distance and bootstrap pattern recognition algorithms. This study has demonstrated the potential of near-IR spectroscopy in quantitative and qualitative assessment of pelletized pharmaceutical product characteristics and in the …
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Classification of stop consonant place of articulation
… are used for the place classifications based on Mahalanobis distance. When stops contain release bursts, the classification accuracies are better than 90%. It was also shown that voicing and vowel frontness contexts lead to a better classification accuracy of stops in some contexts. When stops …
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Application of Transformations for Orthogonality
… of the contribution of individual variables to a Mahalanobis distance and their percentages. New bootstrap methods are proposed and compared with the percentile, bias-corrected percentile, non-studentized pivotal, and studentized pivotal methods via a large simulation study. The new methods enable …
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Exploring anomaly detection methods using features extracted with a neural network
… detection method—such as nearest subspace distance or Mahalanobis distance—that makes use of the extracted features in order to obtain an anomaly score for each image in the test set, which can then be used to detect the outliers in the test set. We show that this outlier detection scheme …
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Autoencoder-based multivariate time series anomaly detection and clustering for diagnosis of mechatronic systems
… on the reconstruction error. Four different distance metrics, Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mahalanobis distance and Cosine similarity are evaluated for the error calculation. Additionally, the error calculation is performed and evaluated using the latent …
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Automated Image Interpretation for Science Autonomy in Robotic Planetary Exploration
… step using labeled exemplar scenes, it applies Mahalanobis distance metric learning (in particular, Multiclass Linear Discriminant Analysis) to discover the linear transformation of the feature space which best separates the geological classes. With the learned representation applied, a vector …
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