A Method Based on Euclidean Distance
Euclidean-distance-based canonical forms for non-rigid 3D shape retrieval
... is based on shape invariance under isometric ...models based on their local ...retrieval method based on ...graph method which incorporates spatial relationships of local ...
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Network Embedding Attack: An Euclidean Distance Based Method
... (GA) based Euclidean Distance Attack strategy (EDA) to attack the DeepWalk-based network embedding to prevent certain structural information from being ...the Euclidean distance ...
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EUCLIDEAN DISTANCE METHOD: A TOOL FOR SPEECH RECOGNITION
... Speech recognition applications that have emerged over the last few years include voice dialing (e.g., Call home), call routing (e.g., I would like to make a collect call), simple data entry (e.g., entering a credit card ...
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Facial Expression Recognition Using Euclidean Distance Method
... is based on image segmentation technique where the given image is converted into a binary image and further used for face ...Model) method incorporates both shape and texture information from facial images, ...
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Facial Expression Recognition Using Euclidean Distance Method
... is based on image segmentation technique where the given image is converted into a binary image and further used for face ...Model) method incorporates both shape and texture information from facial images, ...
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Distance Based Similarity Between Text Documents Using Euclidean Distance
... is based on the document size and structures the length of the document, the number of paragraphs, number of sentences, average number of characters per word, average number of words per ...the distance ...
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2D Face Recognition Based on PCA & Comparison of Manhattan Distance, Euclidean Distance & Chebychev Distance
... simplest method for determining which face class provides the best description of an input face image is to find the face class k that minimizes the Euclidian ...
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Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking
... envelopes based on the separation plane and ellipsoidal were considered for inserting the ...first method changed the mean value of the distribution and the second modified its ...algorithm based on ...
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A Comparative Study of Face Authentication Using Euclidean and Mahalanobis Distance Classification Method
... (PCA) based face recognition technique, the 2D face image matrices must be previously transformed in to one dimensional image ...is based on 2D matrices rather than 1D ...Mahalanobis distance is a ...
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Significant Sentence Extraction by Euclidean Distance Based on Singular Value Decomposition
... the Euclidean dis- tances between the sentence and term vectors and also removed the noise of variability in term usage by the ...proposed method is to be preferred over random selection of sentences or ...
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Automatic object recognition based on Euclidean distance restricted auto encoder
... Euclidian distance restricted auto encoder foreground extraction techniques to develop a real-time object detection ...background based on their variance ...Euclidian distance based ...
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Recognition of Bisindo Alphabets Based on Chain Code Contour and Similarity of Euclidean Distance
... the method of feature extraction and similarity of Euclidean distance for the method of ...proposed method in this study consisted of five section, ...proposed method, we used 52 ...
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Face Recognition using Segmental Euclidean Distance
... Density Method This method makes use of the fact that the eye regions possess more edge density than the other parts of the ...this method, the facial image is converted to the grey level image and ...
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Niching particle swarm optimization based euclidean distance and hierarchical clustering for multimodal optimization
... 5.2 Peak ratio Peak ratios for eleven algorithms on each test function are presented in Table 4. Here, “t-test” is used to compare the difference in means between EDHC and every other method which is given in the ...
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Performance Evaluation of Manhattan and Euclidean Distance Measures For Clustering Based Automatic Text Summarization
... both Euclidean distance and Manhattan distance measurements techniques for finding similarity using k- means algorithm, this is done in order to achieve two distinct ...learning method – ...
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A multiplicative algorithm for convolutive non-negative matrix factorization based on squared euclidean distance
... common method to combat overfitting ...algorithm based on minimum mean square prediction error (MMSPE), where the hard decision is applied to the symbol estimates at the end of each ...
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A New Method of Calculating Squared Euclidean Distance (SED) Using pTree Technology and Its Performance Analysis
... The predicate tree or pTree is a vertical data technology, which records the truth-value of a given predicate on a given data set. For each value of the data set, it stores 1 if the given predicate is true and stores 0 ...
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Face Recognition using Euclidean Distance Correlation Algorithm
... 1. Holistic based Approach: In this approach, the whole face region is taken into consideration as input data into face detection system. It is an excellent technique for recognizing face in terms of recognition ...
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Recognition of Facial Expression Using Eigenvector Based Distributed Features and Euclidean Distance Based Decision Making Technique
... a method has been presented to design an Eigenvector based facial expression recognition ...Eigenvector based features are extracted from the ...the Euclidean distance of the ...
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MULTIPLE SPEAKERS SPEECH RECOGNITION FOR SPOKEN DIGITS USING MFCC AND LPC BASED ON EUCLIDEAN DISTANCE
... LPC method has more accuracy than ...Itakura-saito distance is a very good form of distance measure its performance for the case of isolated word recognition with very little database is very ...use ...
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