Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn

简介:
本书涉及数学结构,这些结构是模式识别等重要数据挖掘领域的基础。通过使用组合和图论技术,可以仔细研究线性不等式的不可行系统,其广义解充当模式识别几何决策规则的组成部分。
英文简介:
This book deals with mathematical constructions that are foundational in such an important area of Data Mining as Pattern Recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition.
- 书名
- Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn
- 译名
- 模式识别图:不可行线性不等式系统
- 语言
- 英语
- 年份
- 2016
- 页数
- 158页
- 大小
- 1.02 MB
- 下载
Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn.pdf
- 密码
- 65536
最后更新:2025-04-12 23:57:33
←Paths: Why is Life Filled with So Many Detours?
→Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks