Euclidian Distance
Auto Halal Detection Products Based on Euclidian Distance and Cosine Similarity
... Abstract— Although Indonesia is the world the world's most populous Muslim-majority country, the number of halal-certified products in Indonesia is only 20% of the products on the Indonesian market. Halal certification ...
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Text Extraction in Images Using DWT, Gradient Method And SVM Classifier
... The confident region which we get may contain non-text regions. So to eliminate non-text region, Firstly we apply Euclidian distance measure to measure the color space values then we perform filtration with ...
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DCT-DST Plane sectorization of Row wise Transformed color Images in CBIR
... and Euclidian distance are used as similarity ...with Euclidian distance as similarity measure gives on average cross over point of precision and recall to be 48% while it is 49% in the case ...
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Proposing an Analysis System to Monitoring Weightlifting Based on Training (Snatch and Clean and Jerk) Abdul Monem S. Rahma Maisa'a Abid Ali K.*
... Analysis system of sports players is very important for individuals in weightlifting. Assessment of player and strength is important for the performance of weightlifting. This paper proposes an analytical method for ...
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Centroid Based Clustering Algorithms- A Clarion Study
... K-means algorithm can be treated as two-phase approach where in the first phase; k centroids are being identified depending on the k value that has been chosen in general the distance measure is being calculated ...
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Error Reduction Approach for Performance Improvement in CSK Systems
... the distance between symbols in 4-CSK is wide compared to ...the Euclidian distance in order to color correct in the RGB three-dimensional space to determine the received symbols close to the ...
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Vol 10, No 3 (2018)
... the Euclidian distance between two nodes is less than 25% of sensing range of a sensor node, the sensor which is not located at optimal position will be deactivated, so that, it reduces the number of ...
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Comparative Study on Fingerprint Recognition System
... Biometric system is used for security purpose and Fingerprint Recognition is one of the most simplest and successful biometric method for authentication. Various researchers gave different conclusion based on their ...
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A Hybrid Approach to Recognize Facial Image using Feature Extraction Method
... the Euclidian distances between this eigenface and the previously stored eigenfaces are ...smallest Euclidian distance is the one the person resembles the ...minimum distance classification in ...
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New Performance Estimation Formula for Evolutionary Testing of Switch-Case Constructs
... the Euclidian distance is proposed ...X Euclidian distance (3.5) The Euclidian distance formula is the most commonly used formula for calculating ...the Euclidian ...
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The accuracy of conformation of a generic surface mesh for the analysis of facial soft tissue changes
... statistically different to the actual changes (p < 0.05). For all mandibular movements the mean Euclidian distance difference for the chin region was 0.5mm (±0.5mm) (95% CI -1.2mm to 1.0mm), for upper ...
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Content Based Image Retrieval using HSV and Hadamard DWT
... International Journal for Research in Applied Science & Engineering Technology IJRASET the query image and the feature vectors stored in the dataset using Euclidian distance.. Sort the i[r] ...
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Analysis and Classification of Internet activity Logs Based on Patterns of Traffic Rates
... In very first section results would be based upon the classification accuracy: From the Table 1, it can be inferred that while comparing the k-mean algorithm using manhattan and euclidian distances So, Bayes ...
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Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013
... level distance measures (Euclidian distance, driving distance and driving time) and evaluate their correlations between population-weighted spatial accessibility index and population-weighted ...
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Title: Classification of Motion and Speech Based Brain EEG Signals using Bilayer Bayesian Classifier with Association Rule (BBC-AR)
... [10] StaffordMichahial, R.RanjithKumar,Hemath Kumar P,Puneeth Kumar A, Speech synthesizer And Feature Extraction Using DWT With classification By Euclidian Distance and neural network of EEG signals, ...
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An Improved Amplitude Comparison Based Direction of Arrival Estimation
... use distance measures to determine the similarity or dissimilarity between any pair of ...the distance between two data a and b as: d(a,b). A valid distance measure should be symmetric and obtains ...
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GIS Based Public Services Analysis Based on Municipal Election Areas: A Methodological Approach for the City of Makkah, Saudi Arabia
... the Euclidian distance, the mean distance band to a neighbor, the standard distance, the directional distribution ellipse, and the average nearest neighbor ratio tools) have concluded that ...
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Automatic object recognition based on Euclidean distance restricted auto encoder
... a Euclidian distance restricted auto encoder foreground extraction techniques to develop a real-time object detection ...the Euclidian distance based restriction and dropout step to avoid over ...
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Comparison between Different ESI Methods on Refractory Epilepsy Patients Shows a High Sensitivity for Bayesian Model Averaging
... CL-MM distance and the third lowest CL-BM, but presented solutions restricted to few structures and more representative than those obtained for the other meth- ...
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What performance analysts need to know about research trends in association football (2012 2016): A systematic review
... total distance covered by teams during matches played at 1200-1400m and 1401-1753m, compared with sea ...total distance traveled (m/min/player), number of goals scored and number of cards issued by ...
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