… on antennas pertaining to size, gain, efficiency, bandwidth, and more. One promising …
complex geometries, engineers need the most efficient method using the most effective tool. …

… Euclidean distance between p and xi; σ is the attenuation factor; … In addition, the multi-scale
and validity measurement issues … Automatic subspace clustering of high dimensional data for …

… In 1996, the University Council of Geographic Information Science (UCGIS) in the United
States argued that a major obstacle to the effectiveness of geographic information technologies …

… Because of its simple principle, high computational efficiency … , robustness, and computational
efficiency, are proposed. In … 图像的欧氏距离(image Euclidean distance, IMED)嵌入到CBP …

… places, the groom along with the bride visits his parents-in-law the next day of marriage; in
some places, … In addition, guessing the riddles in folksongs is the most effective approach to …

… as the zero level set of a higher dimensional function (3D surface) with the … the higher
dimensional surface. The motion of the front is matched with the zero level set of a signed distance …

… distance function in high dimensional data space. Further, we propose a new efficient and
effective … of conditions in high dimensional space, the Euclidean distance function will become …

… Measuring distances, eg, Euclidean distances, between data points is a fundamental step for
… effective quantization scheme to deal with these issues, with that a high-dimensional space …

… to use effective deep feature selection methods in multi-… space is used to adjust the self-organizing
feature map neural network, the minimized weighted squared Euclidean distance is …

… ) distance function in high dimensional data space. Further, we propose a new efficient
and effective … dimensional space, the Euclidean distance function will become unstable (or …