1) context-attributed
上下文属性化
1.
Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive,a novel context-sensitive graph grammar formalism,called context-attributed graph grammar(CAGG),is proposed.
针对目前已有的上下文相关图文法的描述规范过于复杂或不太直观,提出了一个新的上下文相关图文法的形式框架:上下文属性化的图文法CAGG。
3) context windows attributes
上下文窗体属性
4) fuzzy context-free attributed grammar
Fuzzy上下文无关属性文法
5) attribe-level context heterogeneity
属性级上下文异构
6) context quantization
上下文量化
1.
Compression of hyperspectral images based on three-dimensional wavelet transform and context quantization;
基于三维小波变换和上下文量化的高光谱图像压缩
2.
Methods Source entropy change under influence of context model and context quantization is analyzed,then two criteria of optimum context quantization and time-variant context performance mode were established.
方法首先分析了上下文模型以及上下文量化对信源熵的影响,得到了上下文量化的两个优化准则,并根据准则建立了一种时变的上下文性能模型。
补充资料：公理化方法(见公理化和形式化)
公理化方法(见公理化和形式化)
axiomatical method
gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条