One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon閱讀筆記
D ( m , n ) D(m, n) D(m,n)是一個長度爲 m m m, 包含 n n n個不同元素的信息流 (stream). 假設這些元素分別爲 [ 1 , 2 , ⋯ , n ] [1, 2, \cdots, n] [1,2,⋯,n], f i f_i fi是元素在信息流中 i i i的頻數. 假設 g ( ) g() g()是任意一個函數, 則我們將 ∑ i = 1 n g (
相關文章
- 1. One SQL to Rule Them All – an Efficient and Syntactically Idiomatic Approach to Management of Stream
- 2. Going Deeper with Convolutions 閱讀筆記
- 3. 閱讀筆記 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
- 4. 論文閱讀筆記（五十一）：Understanding Deep Image Representations by Inverting Them
- 5. 【論文閱讀筆記】Rethinking the value of Network Pruning
- 6. 《Graph Attention Network》閱讀筆記
- 7. Rethinking the Value of Network Pruning(論文閱讀)
- 8. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation閱讀筆記
- 9. Matching Networks for one Shot Learning 閱讀筆記
- 10. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • JDK13 GA發佈：5大特性解讀
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. One SQL to Rule Them All – an Efficient and Syntactically Idiomatic Approach to Management of Stream
- 2. Going Deeper with Convolutions 閱讀筆記
- 3. 閱讀筆記 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
- 4. 論文閱讀筆記（五十一）：Understanding Deep Image Representations by Inverting Them
- 5. 【論文閱讀筆記】Rethinking the value of Network Pruning
- 6. 《Graph Attention Network》閱讀筆記
- 7. Rethinking the Value of Network Pruning(論文閱讀)
- 8. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation閱讀筆記
- 9. Matching Networks for one Shot Learning 閱讀筆記
- 10. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記