estrange 发表于 2025-3-21 20:06:07
书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469278<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Big Data and Machine Learning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469278<br><br> <br><br>低三下四之人 发表于 2025-3-21 20:29:25
978-3-030-36203-4Springer Nature Switzerland AG 2019骚动 发表于 2025-3-22 02:18:11
Intelligence Science and Big Data Engineering. Big Data and Machine Learning978-3-030-36204-1Series ISSN 0302-9743 Series E-ISSN 1611-3349MAG 发表于 2025-3-22 07:59:55
https://doi.org/10.1007/978-3-030-36204-1artificial intelligence; computational linguistics; computer networks; computer vision; data mining; face遗忘 发表于 2025-3-22 11:50:13
http://reply.papertrans.cn/47/4693/469278/469278_5.pngHALL 发表于 2025-3-22 13:02:03
Computational Decomposition of Style for Controllable and Enhanced Style Transfer,thod, we derive a simple, effective computational module, which can be embedded into state-of-the-art style transfer algorithms. Experiments demonstrate the effectiveness of our method on not only painting style transfer but also other possible applications such as picture-to-sketch problems.多产子 发表于 2025-3-22 20:04:23
Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning,atic (HQ) optimization algorithm to solve the model efficiently. Experimental results on various real-world datasets show that LWR performs robustly to outliers and achieves the top-level results when compared with the existing algorithms.notion 发表于 2025-3-22 21:15:56
http://reply.papertrans.cn/47/4693/469278/469278_8.png不可救药 发表于 2025-3-23 03:50:01
http://reply.papertrans.cn/47/4693/469278/469278_9.png光滑 发表于 2025-3-23 08:20:44
Mining Meta-association Rules for Different Types of Traffic Accidents,eta-rule set with universal applicability. Eventually, all traffic databases are excavated again with different thresholds to get association rules, and meta-rules are integrated into association rules to obtain the universal association rules in the form of a cell group. The proposed method is test