深谋远虑
发表于 2025-3-21 16:12:14
书目名称Automating the Analysis of Spatial Grids影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0166478<br><br> <br><br>书目名称Automating the Analysis of Spatial Grids读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0166478<br><br> <br><br>
嫌恶
发表于 2025-3-22 00:06:56
https://doi.org/10.1007/978-90-481-2510-4fic types of processing. We illustrate the benefits of each of these representations on the problem of extracting the most populated cities in North America from a population density grid. Along the way, we explore Radial Basis Function, projection pursuit, and Gaussian Mixture Models.
Offensive
发表于 2025-3-22 03:44:43
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AVID
发表于 2025-3-22 07:00:06
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flaunt
发表于 2025-3-22 11:18:33
Book 2012d frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and
Banquet
发表于 2025-3-22 13:02:37
Review of Models of Transitory Earnings,upervised classification problems. All the code samples for training and clustering are presented in the statistical language R while the application of the learned model to new data is carried out, as in the rest of this book, in Java.
谷类
发表于 2025-3-22 20:01:40
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GROVE
发表于 2025-3-22 21:38:30
https://doi.org/10.1007/978-94-007-4075-4Data mining; Geoinformatics; Image processing; Pattern recognition; Remote sensing
TAG
发表于 2025-3-23 03:55:28
978-94-017-7940-1Springer Science+Business Media Dordrecht. 2012
小说
发表于 2025-3-23 06:34:24
Valliappa LakshmananContains a distillation of practical techniques from multiple fields.Features techniques illustrated on an easy to understand (and included) population density data set.Includes software implementatio