.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
This paper discusses different kinds of dependency. For numerically valued variables our discussion centers on the maximal correlation coefficient and its cousin the monotone correlation coefficient. We show how to calculate the maximal correlation coefficient in the case the random variables take on a finite set of values. For non-numerically valued variables our discussion centers on information theoretic measures related to mutual information and we describe some that are also metrics. We visually illustrate the difference between these two kinds of measures with a texture example that computes the joint probability image: an image in which the gray level of each pixel is the joint probability of the gray levels of the pixels in its neighborhood. Neighborhoods can be regular such as 5 x 5 or they can be irregular. Finally, we discuss manifold methods for classification: the N-tuple method, the subspace classifiers, the subspace ensemble classifiers, including the graphical model for representing the class conditional probability distribution. We describe a procedure to convert an N-tuple classifier to a graphical model classifier. We also conjecture that there is new form of a universal approximation theorem by which not too complex classification functions from measurement space to the set of classes can be approximately represented in the form of a subspace classifier using multiple subspaces such as the N-tuple method. (C) 2017 Published by Elsevier B.V.
Keyword:
Maximal correlation
Mutual information
Subspace classifiers
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
8.0K
被引数:
1.6W
机构
引用论文
.png){kind=icon}
分享.png){kind=icon}
收藏Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity.png)
NEUROCOMPUTING.png)
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Real-time and offline techniques for identifying obstructive sleep apnea patients用于识别阻塞性睡眠呼吸暂停患者的实时和离线技术
PREAI
分享收藏Linear manifold clustering in high dimensional spaces by stochastic searchPATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
分享收藏Adaptive Impedance Control to Enhance Human Skill on a Haptic Interface System自适应阻抗控制以增强触觉接口系统上的人类技能
OAAI
OAAI分享收藏分享收藏Nanocrystalline silicon films as multifunctional material for optoelectronic and photovoltaic applications纳米硅薄膜作为光电和光伏应用的多功能材料
PREAI
分享收藏
查看更多内容