位置：成果数据库 > 期刊 > 期刊详情页
A new similarity measure based on shape information for invariant with multiple distortions
  • ISSN号：0925-2312
  • 期刊名称：Neurocomputing
  • 时间：2014.4.10
  • 页码：556-569
  • 相关项目：SNURBS：时序-几何动力学建模与仿真方法
作者： He, Xiaoxu|Shao, Chenxi|Xiong, Yan|
同期刊论文项目
SNURBS时序-几何动力学建模与仿真方法
期刊论文 20 会议论文 14
同项目期刊论文
一种对仿真可信度评估的智能专家系统
A general dynamics model under timing-sequence geometry principle
Recovering chaotic properties from small data
Accurate classification of time series based on a new robust similarity measure
Series-NonUniform Rational B-Spline (S-NURBS) model: A geometrical interpolation framework for chaot
基于云定性仿真的兰彻斯特作战模型
A non-parametric symbolic approximate representation for long time series
Improving time series classification accuracy: combining global and local information in the similar
Identifying community structure in complex networks
Series-nonuniform rational B-spline signal feedback: From chaos to any embedded periodic orbit or ta
Asymmetric Game Dynamics in Complex Networks against Cascading Failures
QUALITATIVE PHASE SPACE RECONSTRUCTION ANALYSIS OF SUPPLY-CHAIN INVENTORY TIME SERIES
Zero nodes effect: valid link prediction in sparse networks