Titlebook: Artificial Neural Networks in Pattern Recognition; 9th IAPR TC3 Worksho Frank-Peter Schilling,Thilo Stadelmann Conference proceedings 2020

可樂

書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)




書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)學科排名




書目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡公開度




書目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡公開度學科排名




書目名稱Artificial Neural Networks in Pattern Recognition被引頻次




書目名稱Artificial Neural Networks in Pattern Recognition被引頻次學科排名




書目名稱Artificial Neural Networks in Pattern Recognition年度引用




書目名稱Artificial Neural Networks in Pattern Recognition年度引用學科排名




書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋




書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋學科排名

sacrum

K. Me?mer,H. Cotta,M. E. Müllers, which avoids the need for retraining the model. We perform experiments using the PASCAL-VOC2007 dataset. While the baseline SSD has 22M parameters and an mAP score of 77.20, the use of the SFCM (one of the plugins we used) increases the mAP score to 78.82 and the number of parameters to 25M.

演講

https://doi.org/10.1007/978-3-642-75445-6ness against noisy inputs. Our empirical results show that the new training regime improves the performance of echo state networks in an open loop setup under high noise and generally improves their performance in closed loop setups.

含鐵

Deutscher Bergbau in Geschichte und Ethos,r performance on NED and introduce a strategy to scale it to hundreds of thousands of formal names. Our experiments on several datasets for alias detection demonstrate that our system is capable of obtaining superior results with a large margin compared to other state-of-the-art systems.

高度贊揚

粗糙

毛細血管

hankering

RUPT

大猩猩

über die Ursache des Geburtseintrittsmethod based on CNN and handcrafted features. Furthermore, a novel analysis technique for deep similarity networks is introduced for the purpose of finding relevant image regions. The proposed approach is evaluated qualitatively on video recordings of the German Broadcasting Archive.