|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The β6-integrin-ERK/MAP kinase pathway contributes to chemo resistance in colon cancer显示文摘 | Song Liu Jian Wang Weibo Niu Enyu Liu Jiayong Wang Cheng Peng Pengfei Lin Ben Wang Abdul Qadir Khan Huijie Gao Benjia Liang Muhammad Shahbaz Jun Niu | 2013 | Cancer Letters2013，，2： | 1 |
| 2 | Labtse and the Reinscription of Sacralized Social Space显示文摘One of the most widely reported, yet ignored, Tibetan folk rituals concerns labtse. In westernliterature, the longest discussion of labtse is S. Hummel’s, which appeared in Anthropos some 30years ago. There Hummel discussed the symbolic significance of labtse from the perspective of Kul-turkreislehre. Most writings on the subject, both in China and the west, seem to have followed inthe same epistemological footsteps. Studies of labtse have been dominated by what we shall call | Lawrence Epstein Benjia Peng Wenbing | 1992 | 中国藏学1992，，S1： | 0 |
| 3 | THE GREAT MASTER BODONG CHONYI NAMGYEL显示文摘Tibetan Buddhism makes use of eight auspicious symbols like Victory vs.Loss, Happiness vs.Affliction,Right vs.Wrong,and Destruction vs.Glory possess similar characteristics.Whenever believers see these symbols,they are encouraged to have a calm acceptance of all secular things in the world. The famous Tibetan scholar Bodong Chonyi Namgyel is able to reach such a realm. Bodong Chonyi Namgyel was born in 1376 at Yugu of Dingri County of Shigaste.The word 'Bodong' is actually a place name and 'Chonyi Namgyel' is his religious name.He was known widely as 'Master Bodong'.In his life he followed famous masters to | Yang Benjia | 2012 | China's Tibet2012，23，2： | 0 |
| 4 | Adaptive cross-fusion learning for multi-modal gesture recognition显示文摘Background Gesture recognition has attracted significant attention because of its wide range of potential applications.Although multi-modal gesture recognition has made significant progress in recent years,a popular method still is simply fusing prediction scores at the end of each branch,which often ignores complementary features among different modalities in the early stage and does not fuse the complementary features into a more discriminative feature.Methods This paper proposes an Adaptive Cross-modal Weighting(ACmW)scheme to exploit complementarity features from RGB-D data in this study.The scheme learns relations among different modalities by combining the features of different data streams.The proposed ACmW module contains two key functions:(1)fusing complementary features from multiple streams through an adaptive one-dimensional convolution;and(2)modeling the correlation of multi-stream complementary features in the time dimension.Through the effective combination of these two functional modules,the proposed ACmW can automatically analyze the relationship between the complementary features from different streams,and can fuse them in the spatial and temporal dimensions.Results Extensive experiments validate the effectiveness of the proposed method,and show that our method outperforms state-of-the-art methods on IsoGD and NVGesture. | Benjia ZHOU Jun WAN Yanyan LIANG Guodong GUO | 2021 | Virtual Reality & Intelligent Hardware2021，3，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员