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61 Another simple synthetic proof of finiteness of areas of asymptotic triangles in non - Euclidean geometry is given.

62 Extended Euclidean Algorithm is selected to realize inversion from the standpoint of saving time.

63 By analysing computational complexity, the improved algorithm only requires half a computation required by original Euclidean algorithm, and has high computing precision.

64 A new non-Euclidean distance was introduced to replace the Euclidean distance in the IPCM, and then a new fuzzy clustering, called novel improved possibilistic C-means(NIPCM)clustering was proposed.

65 Based on Euclidean algorithm, this paper gives a new method that can judge similar zero and pole points of a system model and conception of similarly.

66 This article starts with the definition of the Euclidean Geometry and the Non-Euclidean Geometry.

67 The FPGA simulation results show that the modified Euclidean algorithm is feasible.

68 In this part , a centerline extraction based on 3 D Euclidean distance transform is presented.

69 During the recognition phase, Euclidean Distance representing VQ distortion in this project is calculated.

70 Furthermore, a conjecture on further generalization to higher dimension case or general Euclidean space is proposed which requires further study.

71 In this paper, we study the scalarization over Euclidean Jordan algebra vector optimization problem.

72 For instance, it's also the square of the Euclidean norm on R2, the length of a two-dimensional vector, a part of the triangle inequality, and quite a bit more.

72 Sentencedict.com try its best to gather and build good sentences.

73 In this course we will introduce the basic properties about curves and surfaces in three dimensional Euclidean space.

74 A 2 - D complete Euclidean distance transform algorithm based on contour - stripped is presented in the paper.

75 Each innovation destined to dwarf the one extensive accomplishment of the Greeks - Euclidean geometry.

76 The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.

77 We prefer the form (5.16.7) since it is in conformity with the definition of scalar product in a complex Euclidean space.

78 The minimum squared Euclidean distance ( MSED ) of 2-ary multi - k continuous - phase frequency - shift keying ( CPFSK ) signal is presented.

79 First, the counterparts of the points on image in camera coordinate system (CCS) are found by utilizing two properties, namely collinearity and Euclidean distance invariability.

80 The TCQ algorithm takes advantage of convolution code, and enlarges the Euclidean distances among quantized data by expanding data dimensions.

81 It has been proved that the nature of independence exists in the axiomatic system of Group, Euclidean space, distance space and topological space.

82 A speech emotion recognition method is also presented based on weighted Euclidean distance template matching, in which the weights of features are calculated by the method of contribution analysis.

83 It is revealed that the paradox solution in Euclidean space is just a solution in symplectic space in the Jordan form which can easily be obtained by conventional mathematical means.

84 Distance-based and density-based clustering algorithms in Euclidean space can be used in this framework.

85 It seems that the proof of Pythagoras's theorem comes pretty much from just consulting the ideas of Euclidean triangle, the exhume of Euclidean geometry and simply doing inferences from those.