Self-Organizing Feature Mapping 自组织映射
Isometric feature mapping 等距特征映射 ; 等距特征映射算法
multiple domain feature mapping 多域特征映射
self-organization feature mapping 自组织特征映射
self organized feature mapping 和自组织特征映射网络
Supervised Isometric Feature Mapping 监督等距映射
Laplace feature mapping Laplace特征映射
function-feature mapping 功能特征映射
Isometric Feature Mapping (ISOMAP) not only has high complexity but also can not learn new samples.
等距特征映射(ISOMAP)不仅计算复杂度很高,而且缺乏对新样本的学习能力。
参考来源 - 基于小世界模型的流形学习算法The mechanism and model of feature mapping among multiple domains for CE are given.
根据特征映射的一般性原理，分析了多域特征映射机理，给出了多域特征映射模型。
参考来源 - 并行工程环境下的多域特征映射研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
提出一种量子自组织特征映射网络模型及聚类算法。
Mapping knowledge is represented and organized by means of Object-Oriented technique. System KB and procedure KB drive the two-way feature mapping.
映射知识以特征为对象按面向对象技术表达和组织，由系统知识库和过程知识库共同驱动双向特征映射的实现。
This paper elaborates the constraint-based method and gives the realizing approach to the hole-series feature mapping. It's verified by a component instance.
重点阐述孔系约束匹配法及基于约束的孔系特征映射实现方法，并给出实例验证。
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