14,PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding,https://github.com/daerduoCarey/partnet_dataset,,https://cs.stanford.edu/~kaichun/partnet/,,,Tuesday,Poster 1.1,68,Kaichun Mo,"Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna...
FM 平台用于创建针对Gingerbread (2.3.3 – 2.3.7)、Ice Cream Sandwich (4.0.3, 4.0.4)和Jelly Bean (4.1.x, 4.2.x, 4.3.x)*的原生Android 应用。 iOS 7 SDK 支持和样式 针对Android、iOS、Windows和OS X 的时间选择器控件 针对Android、iOS和OS X 的通知中心组件 Android、iOS、Windows和OS X 上内...
Importantly, the different models rely on the same dataset and its vector of Psych 2023, 5 1130 sufficient statistics ξ. Hence, the standard error of a parameter difference from parameters of different models can be smaller than the standard error of a single model because the data are used ...
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DataSet ds = new DataSet();//数据库链接 调用方式 link(“XFS_1301”);//消防栓编号 private Booleanlink(string name) { db = new Database(); string str ="select * from build_device where device_id='"+ name +"'";//SQL语句 根据物体的编号从数据库中select相对应的记录 ...
We trained on the standard WMT 2014 English-German dataset consisting of about 4.5 million sentence pairs. Sentences were encoded using byte-pair encoding [3], which has a shared source- target vocabulary of about 37000 tokens. For English-French, we used the significantly larger WMT 2014 Englis...
We trained on the standard WMT 2014 English-German dataset consisting of about 4.5 million sentence pairs. Sentences were encoded using byte-pair encoding [3], which has a shared source- target vocabulary of about 37000 tokens. For English-French, we used the significantly larger WMT 2014 Englis...
We trained on the standard WMT 2014 English-German dataset consisting of about 4.5 million sentence pairs. Sentences were encoded using byte-pair encoding [3], which has a shared source- target vocabulary of about 37000 tokens. For English-French, we used the significantly larger WMT 2014 Englis...