• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microprocessors and microsystems >Classification algorithm based on semantic judgment and its application in image classification
【24h】

Classification algorithm based on semantic judgment and its application in image classification

机译：基于语义判断的分类算法及其在图像分类中的应用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the rapid development of the national economy and the widespread use of computer applications platforms, we are analyzing the explosive growth of data, and, data binding and loading delays become a significant problem for this application. Asymmetry of semantic information between a source of the application and the image memory problems. In recent years, intelligent computing, has become a major research analysis of the semantic content. It is also in the order that is generating the offline and online learning characteristics, machine learning, and has become a hot research. The meaning of the image such semantic relatedness, classification, annotation, and in larger environments, tasks such as meaning analysis of such content hash mapping application image, learning. Caption of the image is an important issue in the semantic content of the image analysis. Comments can establish a relationship between the image classification and semantic content. Intelligent learning computer analyze and solve problems, to extract large amounts of data based on the views of a large image. The image semantic content analysis and visual vocabulary and metadata are combined, in planning. Hash value is a semantic metadata, additional metadata to obtain in-depth research, as well as the structure and semantic metadata management at different levels.
机译：随着国民经济的快速发展和应用计算机应用平台的广泛使用，我们正在分析数据的爆炸性增长，数据绑定和装载延迟成为本申请的重大问题。应用程序源与图像存储器问题之间的语义信息的不对称性。近年来，智能计算，已成为对语义含量的重大研究分析。它也是在机器学习中产生离线和在线学习特征的顺序，并已成为一个热门的研究。图像这样的语义相关性，分类，注释以及较大的环境中的含义，诸如含义哈希映射应用图像的含义分析的任务，例如分析。图像的标题是图像分析的语义内容中的一个重要问题。评论可以在图像分类和语义内容之间建立关系。智能学习计算机分析和解决问题，基于大图像的视图提取大量数据。在规划中组合了图像语义内容分析和视觉词汇和元数据。哈希值是一个语义元数据，额外的元数据，以获得深入研究，以及不同级别的结构和语义元数据管理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号