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增量与演化流形学习综述

谈超 关佶红 周水庚

智能系统学报2012,Vol.7Issue(5):377-388,12.
智能系统学报2012,Vol.7Issue(5):377-388,12.DOI:10.3969/j.issn.1673-4785.201204028

增量与演化流形学习综述

Incremental and evolutionary manifold learning: a survey

谈超 1关佶红 1周水庚2

作者信息

  • 1. 同济大学计算机科学与技术系,上海201804
  • 2. 复旦大学计算机学院,上海200433
  • 折叠

摘要

Abstract

Manifold learning is to find the low-dimensional smooth manifold of observation data embedded in high-dimensional data space. In recent years, exploring the intrinsic low-dimensional manifold structure online or incrementally becomes a hot research topic in manifold learning area. This paper surveys the state of the art of incremental and evolutionary manifold learning, including the mechanisms and features of major existing incremental and evolutionary manifold learning methods, their advantages and disadvantages, and highlights the open research issues and future research directions.

关键词

流形学习/增量流形学习/演化流形学习

Key words

manifold learning/ incremental manifold learning/ evolutionary manifold learning.

分类

信息技术与安全科学

引用本文复制引用

谈超,关佶红,周水庚..增量与演化流形学习综述[J].智能系统学报,2012,7(5):377-388,12.

基金项目

国家自然科学基金资助项目(61173118). (61173118)

智能系统学报

OA北大核心CSCDCSTPCD

1673-4785

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