Titlebook: Gesture Recognition; Sergio Escalera,Isabelle Guyon,Vassilis Athitsos Book 2017 Springer International Publishing AG 2017 Artificial intel

搖尾乞憐

書目名稱Gesture Recognition影響因子(影響力)




書目名稱Gesture Recognition影響因子(影響力)學(xué)科排名




書目名稱Gesture Recognition網(wǎng)絡(luò)公開度




書目名稱Gesture Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Gesture Recognition被引頻次




書目名稱Gesture Recognition被引頻次學(xué)科排名




書目名稱Gesture Recognition年度引用




書目名稱Gesture Recognition年度引用學(xué)科排名




書目名稱Gesture Recognition讀者反饋




書目名稱Gesture Recognition讀者反饋學(xué)科排名

拱墻

978-3-319-86059-6Springer International Publishing AG 2017

攤位

民間傳說

Harness

HALL

Qing Zhu,Xiaoxia Yang,Haifeng Li appearance data as well as those inferred from both 2D or 3D tracking data. These sub-units are then combined using a sign level classifier; here, two options are presented. The first uses Markov Models to encode the temporal changes between sub-units. The second makes use of Sequential Pattern Boo

HALL

Spatial Epidemiology and Public Health,to create gestures easily distinguishable from users’ normal movements. Our tool MAGIC Summoning addresses this problem. Given a specific platform and task, we gather a large database of unlabeled sensor data captured in the environments in which the system will be used (an “Everyday Gesture Library

燒烤

dandruff

G. B. M. Heuvelink,F. M. van Egmonde continuous and the categorical model. The continuous model defines each facial expression of emotion as a feature vector in a face space. This model explains, for example, how expressions of emotion can be seen at different intensities. In contrast, the categorical model consists of . classifiers,

commensurate