pattern detection
英 [ˈpætn dɪˈtekʃn]
美 [ˈpætərn dɪˈtekʃn]
网络 模式检测; 图形检测
双语例句
- The event processing functions include validation, enrichment, routing, transformation, orchestration, and pattern detection.
事件处理功能包括验证、充实、路由、转换、编排和模式检测。 - This is only needed if you want to use Java pattern detection.
如果您想要使用Java模式检测时，这才会需要。 - Business Events adds live event pattern detection and the dynamic processes to respond to these patterns to the business process management space.
BusinessEvents添加了实时事件模式探测和动态流程功能，以便响应这些针对业务流程管理领域的模式。 - Analysis of Alert Correlation Based on Sequential Pattern in Intrusion Detection
入侵检测中基于序列模式的告警关联分析 - Thoughtful reasoning, divergent production, pattern detection, learning are all part of the creative process, and are measured in an IQ test.
深思熟虑的推理、发散性思维、模式检测和学习能力都是创意性的组成部分，在智商测试中也会加以考量。 - The model introduced state shift concept and inosculated pattern match detection and state shift detection, which overcame the shortcoming that other models detected only using single character.
模型引入了状态转移概念并将模式匹配检测和状态转移检测结合在一起，克服了已有模型只专注于单一特征检测的缺陷。 - This paper proposes an algorithm named boundary pattern detection based on statistics information to detect boundary points of clusters effectively.
为有效地检测聚类的边界点，提出基于统计信息的边界模式检测算法。 - Research on Design Pattern Detection Technology Towards Java
面向Java语言的设计模式抽取方法的研究 - At the same time, it also was proved that the patterns detection methods based on pattern encoding is equal to the methods with similarity theory, as a result, any intrusion pattern detection algorithms based on similarity theory can be realized by pattern encoding.
同时，文中还从理论上论证了模式编码量化检测方法与基于相似性理论的模式检测方法的等效性，证明任何用相似性理论实现的入侵模式检测算法均可用编码量化处理来等效实现。 - Segmental Semi-Markov Model Based Research in Online Series Pattern Detection Method
基于分段半马尔可夫模型的在线序列模式检测方法研究 - Comprehensive formalization and new analysis of the negative selection model are developed. The coding schemes of self and their characteristics are described in detail based on definition of self, including pattern distribution, detection rule and detection scheme.
论文对入侵检测问题的负选择检测模型进行了全面、系统的形式化描述，明确提出了入侵检测的Self定义，分析了Self的编码表示及其特性，包括模式分布特性以及检测规则与检测模式等。 - If the result of the pattern detection is not satisfactory, an advanced Sequential Similarity Detection Algorithm ( SSDA) is applied to realize image matching.
如果模式检测没有得到令人满意的结果，将使用一种改进的序贯相似性检测算法（SSDA）进行图像匹配。 - Research of the Design Pattern Detection Based on the Java Source Code
基于Java源码的设计模式探测初探 - Application and research of aggregation emerging pattern in Intrusion Detection
聚集显露模式在入侵检测中的应用研究 - Pattern detection is applied to search the similar region in neighboring images and estimate the stitching position of two images.
该算法采用模式检测技术寻找两幅相邻照片的相似区域，计算图像的缝合位置。 - Design pattern detection is the process of identifying the design pattern instances in the existing source code. The search algorithm is the key for the detection.
设计模式探测是从源码中提取设计模式实例的过程，其搜索算法是探测的关键。 - For all 7 species with frequency higher than 10%, the seed pattern was aggregated as indicated by two indices of pattern detection.
两个格局指数显示7个分布频率大于10%的物种的种子全部为聚集分布。 - This paper describes the general steps and different search approaches for the design pattern detection. Using the Factory Method Pattern as a running example for detecting the design pattern instances in the Java source code, it provides a search function prototype for automatic design pattern detection tools.
文中分析了设计模式探测的一般步骤和搜索策略，通过实现从Java源码中搜索FactoryMethod模式的算法，给出了设计模式自动探测工具的搜索功能实现原型。 - Especially, we have explained container problem that come across in design pattern detection and resolution of it.
特别讨论了在抽取设计模式时与container类相关的问题及其解决方案。 - An Efficient Mining Algorithm for Frequent Pattern in Intrusion Detection
入侵检测中频繁模式的有效挖掘算法 - According to the characters of complex process data of iron and steel making, two pattern discovery tasks have been implemented: outlier detection and pattern change detection.
针对复杂的钢铁生产过程数据，应用本文提出的数据流模式发现算法完成两个挖掘任务：离群点检测及突变发现。 - Chapter ⅲ focus on the Bayesian classification in data mining theory contrast to the shortcoming of traditional pattern matching-based intrusion detection system and its application in intrusion detection.
第三章针对传统的基于模式匹配的入侵检测系统的缺点，重点研究了数据挖掘中的贝叶斯分类理论，及其在入侵检测中的应用。 - This scheme combines the merits of threshold based and pattern based event detection mechanisms, and is optimized for low cost, low computing capability node which also has the limitation of energy consumption per unit time.
该方案结合了基于阈值和基于模式这两类事件检测机制的优点，特别针对低成本、低计算能力和单位时间内能量受限的无线传感器网络节点进行了优化设计。 - A new time series outlier detection algorithm of high-efficiency was proposed based on the foundation of k-nearest local outlier pattern detection algorithm and PCA.
在k-近邻局部异常检测算法的基础上，结合基于主成分分析的降维方法，可以高效检测多变量时间序列的异常。 - The sudden emergence of software testing based on defect pattern detection, as an important guarantee for high assurance software, can greatly reduce the defect density of software and improve its reliability.
基于缺陷模式的软件测试技术作为高可信软件的重要保证，可以大大降低软件的缺陷密度，提高软件的可信性。 - The pattern detection fusion processes information containing the redundancy data based on dissimilarity. Anomaly detection fusion process is based on the D-S evidence theory of the fusion. The anomalies on the network information are collected and quantified, and then are recognized by the fusion model.
模式检测融合是针对告警事件的冗余性，采用基于相异度的方法处理信息；异常检测融合对网络上的异常信息进行采集和量化，采用基于D-S证据理论的方法进行融合。 - Then introduce the design of several interference detection algorithms, which include image fuzzy detection, image interference detection, image character detection and test pattern feature detection.
其次，本文详细介绍了几种干扰检测算法及其检测流程，检测的主要内容包括图像模糊检测、图像干扰检测、图像文字失真检测、测试图特征检测。 - Currently, most of the abnormal pattern detection methods are in the raw data space, i.e. not the sensor nodes collect data for any transformation, although this method has high detection accuracy.
目前，大部分模式异常检测方法都是在原始采集数据空间上进行，即不对传感器节点采集的数据进行任何变换，虽然这种方法的有一定检测精度。 - Image mining is an interdisciplinary study for image analysis and understanding using data mining technology. It denotes the synergy of data mining, image processing, computer vision, image retrieval, match learning, pattern detection, database, and artificial intelligence.
图像挖掘是应用数据挖掘技术实现图像理解的多学科交叉研究课题，它融合了数据挖掘、图像处理、计算机视觉、图像检索、机器学习、模式识别、数据库与人工智能等研究领域。