1.
Form Feature Hierarchy Recognition Method Based on Knowledge and Graph
基于知识与图的形状特征层次识别方法
2.
In this paper, a multi-grade image recognition plan is proposed for inner-surface rifling images of a cannon and an arithmetic method for rifling recognition is also designed.
提出了一种线膛炮内膛表面图像识别的分层次识别方案,并研究了膛线识别的算法。
3.
Industrial Linkage and Hierarchy Recognition Modeling Combining Input-output Analysis and Interpretive Structural Modeling;
基于投入产出与解释结构建模法相结合的产业关联及层次识别建模
4.
The Recognition and the Format of FRBRized Cataloging in Chinese
中文编目FRBR化之各层次的识别与著录
5.
Study on Handwritten Chinese Character Recognition Based on Multi-Structure Information Fusion
基于多层次信息融合的手写体汉字识别研究
6.
Risk Identification and Hierarchical Fuzzy Comprehensive Evaluation of Mergers & Acquisitions;
企业并购风险识别及多层次模糊综合评价
7.
Language Identification by Hierarchical Support Vector Machine
一种基于层次化支持向量机的语种识别方法
8.
Study on Multilevel and Multistage Humanoid Intelligent Control and Recognition;
多层次多阶段仿人智能控制与识别方法及其应用的研究
9.
Chinese Lexical Analysis and Named Entity Identification Using Hierarchical Hidden Markov Model;
基于层次隐马尔可夫模型的汉语词法分析和命名实体识别技术
10.
Recognition of Off-line Handwritten Chinese Character by Using Decision Tree Based on Hiberarchy Decomposition
基于层次分解决策树的脱机手写体汉字识别研究
11.
Application of Hierarchy-Entropy Combination Assigning Method in Radar Emitter Recognition
层次-熵值组合赋权法在雷达辐射源识别中的应用
12.
Application of hierarchic decomposition approach to identification of risk factors for East Route of South-to-North Water Transfer Project
层次分解法在南水北调东线工程风险因子识别中的运用
13.
Method for Automatic Identification of Marker Bed in Reservoir Correlation
储层对比中标准层自动识别方法研究
14.
"There will always be differences of opinions as each one of us are at different stages of discovering, learning and understanding."
人们在认识、学习、领悟等方面的层次各有差别,因此意见分歧便永远存在。
15.
That's because we are all individuals. There will always be differences of opinions as each one of us are at different stages of discovering, learning and understanding.
原因在于人皆为个体，在认识、学习、领悟等方面的层次各有差别，因此意见分歧便永远存在。
16.
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
17.
In this paper,a approach of the handwritten Chinese character recognition,called the Natural structural analytical approach, is proposed.
本文从汉字的自然层次结构出发,提出了手写汉字识别的自然结构分析法。
18.
Because the algorithm utilizes multi-properties of the line hierarchically, it works efficiently and reduces the possibility of mismatch.
识别时，分层次地综合使用直线的多种特性，从而提高了效率，减少了误匹配的可能性。