JavaShuo
欄目
標籤
[CVPR 17] Matrix Tri-Factorization with Manifold Regularization for Zero-shot Learning
時間 2021-01-02
標籤
CVPR 2017
ZSL
矩陣三分解
流形正則化
欄目
應用數學
简体版
原文
原文鏈接
文章目錄 Abstract 1. Introduction 2. Related work 3. The Proposed Approach 3.1. Problem Statement 3.2. The General Framework of MFMR 3.2.1 3.2.2 Modeling the Manifold Structure 3.2.3 Objective Function 3.
>>阅读原文<<
相關文章
1.
Regularization method for machine learning
2.
Official Program for CVPR 2015
3.
Manifold Learning詳解
4.
【論文閱讀】Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classifica
5.
《Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification》
6.
READING NOTE: Learning Spatial Regularization with Image-level Supervisions for Multi-label ...
7.
流形學習(Manifold Learning)簡單介紹
8.
Unity Learning for Day 17
9.
Machine Learning with Membership Privacy using Adversarial Regularization
10.
筆記:Semi-supervised Domain Adaptation with Subspace Learning for Visual Recognition
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
•
算法總結-二分查找法
相關標籤/搜索
manifold
regularization
cvpr
learning
matrix
17%
with+this
with...connect
應用數學
正則表達式
PHP 7 新特性
0
分享到微博
分享到微信
分享到QQ
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。
最新文章
1.
python的安裝和Hello,World編寫
2.
重磅解讀:K8s Cluster Autoscaler模塊及對應華爲雲插件Deep Dive
3.
鴻蒙學習筆記2(永不斷更)
4.
static關鍵字 和構造代碼塊
5.
JVM筆記
6.
無法啓動 C/C++ 語言服務器。IntelliSense 功能將被禁用。錯誤: Missing binary at c:\Users\MSI-NB\.vscode\extensions\ms-vsc
7.
【Hive】Hive返回碼狀態含義
8.
Java樹形結構遞歸(以時間換空間)和非遞歸(以空間換時間)
9.
數據預處理---缺失值
10.
都要2021年了,現代C++有什麼值得我們學習的?
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Regularization method for machine learning
2.
Official Program for CVPR 2015
3.
Manifold Learning詳解
4.
【論文閱讀】Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classifica
5.
《Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification》
6.
READING NOTE: Learning Spatial Regularization with Image-level Supervisions for Multi-label ...
7.
流形學習(Manifold Learning)簡單介紹
8.
Unity Learning for Day 17
9.
Machine Learning with Membership Privacy using Adversarial Regularization
10.
筆記:Semi-supervised Domain Adaptation with Subspace Learning for Visual Recognition
>>更多相關文章<<