Mahalanobis Distance
VIDEO BASED INDIAN SIGN LANGUAGE RECOGNITION USING BLOCK ZIG-ZAG DCT FEATURES AND MAHALANOBIS DISTANCE CLASSIFIER
... minimum distance classifier ...training. Mahalanobis distance is the metric that will assign class variables to different sign ...classes. Mahalanobis distance [24] is chosen for SLR ...
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A New Incremental Decision Tree Learning for Cyber Security based on ILDA and Mahalanobis Distance
... As shown in the previous studies, this study is interested in developing each procedure of cyber-attack detection to be effective through IDTL based on Sequential Incremental LDA (ILDA) and mahalanobis ...
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Identification and Classification of Rice varieties using Mahalanobis Distance by Computer Vision
... In this work, RGB is used. RGB color model is used because red, green and blue are three primary colors. These are pure colors, no white light mixed to them Many image segmentation approaches take advantage of this. ...
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A Comparative Study of Face Authentication Using Euclidean and Mahalanobis Distance Classification Method
... The Mahalanobis distance is a metric which is better adapted than the usual Euclidean distance to settings involving non spherically symmetric ...and Mahalanobis Distance classification ...
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Ranking mahalanobis distance models for predictions of occupancy from presence-only data
... A critical step in any modeling effort is to select analytical techniques appropriate for both the question at hand and the available data. In situations where absence data are unavailable, presence-only approaches such ...
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The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance
... of Mahalanobis distance in assessing the overall accuracy of inflation predictions in Romania when two scenarios are proposed at different times by several experts in forecasting or forecasters using data ...
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Ambiguous Metaclustering Algorithm and Crisp Recursive Profiling for Online Reviewers Using Mahalanobis distance
... of mahalanobis distance for resulting ...Euclidean distance for uncorrelated variables with unit ...uses mahalanobis distance for profiling of online reviewer and business ...
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Cluster merging based on weighted Mahalanobis distance with application in digital mammography
... The covariance matrices of the generated clusters are used t o determine cluster similarity and closeness so that clusters which are similar in shape and close in Mahalanobis distance ca[r] ...
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An Adaptive Multi-Focus Medical Image Fusion using Cross Bilateral Filter Based on Mahalanobis Distance Measure K. L. Naga Kishore, N. Nagaraju, A. V. V. Vinod Kumar
... results a PSNR of 38.0612dB. But the problem with curvelets is that it results poor directionality at the edges of the image. Q.G. Mio [4] et.al. proposed an algorithm based on Non sub-sampled Contourlet transform and it ...
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Outlier Detection Based on Robust Mahalanobis Distance and Its Application
... [4], Mahalanobis distance [5], genetic algorithm ...classical Mahalanobis distance is a common method for detecting ...classical Mahalanobis distance is also sensitive to ...
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Using Mahalanobis distance to evaluate recovery in acute stroke
... that Mahalanobis distance can be used to identify distinct recovery profiles, larger numbers of participants need to be examined before the clinical utility of the measure can be firmly ...
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EEG BASED DROWSINESS ESTIMATION USING MAHALANOBIS DISTANCE
... Abstract— In the last years, the traffic accidents study is become important because they produce several died and hurt around the world. Drowsiness is a safety hazard in commercial vehicle driving. The conditions to ...
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Mahalanobis distance-based recognition of changes in the dynamics of a seismic process
... Thus, the most important conclusion is that prior to almost all strong earthquakes, in periods which can be regarded as relatively seismically calm, the original seismic process is indis[r] ...
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Adaptive Scheme for Outliers Detection in Wireless Sensor Networks
... In this paper, we proposed a distributed adaptive scheme for outlier detection in WSNs. In such networks, having significant data among the gathered data by sensor nodes remains a challenge. The proposed approach is ...
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Development of a Qualitative near Infrared Screening Method for Quality Consistency Assessment of Virgin Sunflower Oil
... is Mahalanobis distance (M-Distance) where Mahalanobis distance of 1 is for accept and Mahalanobis distance of 3 is for ...
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Evaluation of LISS-III Sensor Data of IRS-P6 Satellite for Detection Saline Soils (Case Study: Najmabad Region)
... Soil Salinity has been a large problem in arid and semi arid regions. Preparation of such maps is useful for Natural resource managers. Old methods of preparing such maps require a lot of time and cost. Multi-spectral ...
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Discrimination between Chinese Jing Wine and Counterfeit Using Different Signal Features of an Electronic Nose
... counterfeits were all accomplished well using the three kinds of feature extraction methods, the RSV is the best and the MDCV the poorest in respect of discrimination effect. For the MDCV, the discrimination can only be ...
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Prostitution in Thailand
... Euclidean distance, Mahalanobis distance and Fisher’s quadratic discriminant are ...that Mahalanobis distance gives the best result. Mahalanobis distance accounts for the ...
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A Comparative analysis of spectral band selection techniques
... List of Figures Number Title Figure 1 Geometrical Representation Page of Mahalanobis Distance 7 Figure 2 Statistical Distance Between Class Means 11 Figure 3 Individual Sine Curves 16 Fi[r] ...
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Application of EEG in User Verification.
... Performance of the Mahalanobis Distance classifier, the Neural Network classifier and the SVM classifier are discussed in this section. As discussed in Section 3.3, we consider two types of EEG data ...
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