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- Feature extraction is the foundation of audio classification,while audio classification is a key of content based audio retrieval. 音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval. 摘要音频特征提取是音频分类的基础，而音频分类又是基于内容的音频检索的关键。
- We present a novel segmentation randomized tree based classification algorithm in this paper. 本文提出一种基于区域分割的随机树分类算法。
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- It is possible, finally, to base classification on the full floristic composition of communities without reliance on numerical techniques. 最后，分类还有一种可能，即以植物群落的全部植物种类组成作为分类的基础，并无须依赖于计算技术。
- A homomorphic analysis based classification method is proposed.The relationships between components of noise are converted to linear summarization through cepstrum transform. 利用同态分析进行目标分类,即通过倒谱分析将各噪声分量变为线性相加关系,实现各信号分量以及信道的分离,以便提取信号特征进行分类。
- No additional configuration for collocation is required if using content based routing. 如果使用基于内容的路由,则并置不需要额外的配置。
- Through the problem analysis, the article constructs a PKI module and design the content based on needs. 通过在“新会市电力工业局数字电力系统”课题中遇到的问题,架构了一个公钥基础设施模型,根据功能需要具体设计了系统的组成。
- This article specially discusses this content based en seme scattered reliable historical materials. 本文依据一些散见的可靠史料专门论述这一内容。
- Content based image retrieval (CBIR) is just one of key technologies for such a problem. 基于内容的图象检索(Content Based Image Retrieval, CBIR)技术就是解决这一问题的关键技术之一。
- One related key issue in Content Based Image Retrieval (CBIR) is the representation of image visual content. 在基于内容的图像检索中，一个关键的问题是图像视觉内容的表述。
- Because coefficients match Laplacian distribution after classification based on their acitivity prediction, a context based classification and adaptive quantizer(CBCAQ) is used to them. 由于小波分解后的系数经活动性预测分类后具有拉普拉斯分布的性质 ;因此可对其采用预测分类的自适应量化方法进行编码 .
- Search and locate content based on identifications and descriptions at levels within the content store subject to privacy and rights constraints. 在服从私密性和版权的约束下,在内容存储中根据标识和描述在各个级别搜寻和定位内容。
- The abstractive content based retrieve experiments were made by the semantic matching procedure in constructed semantic network. 通过构造语义网络的方法和在语义网络上的语义匹配过程，进行了使用抽象信息层次信息实现检索的实验。
- Experiment shows that the proposed VK-LLE method can achieve higher precision rate in content based image retrieval problem. 实验结果表明，提出的可变k近邻LLE数据降维方法在基于内容的图像检索中取得了较高的检索准确率。
- Maximum foamable composites were found to be around 30% wood content based on the prescription set for this experiment. 2. 1．依照此试验所设定之条件，其可发泡之复合物之含木率极限为约30%25。
- Abstract: The association analysis of data mining was introduced into the content based image retrieval (CBIR), and a novel CBIR method was put forward. 摘 要： 将数据挖掘中的灰关联分析引入基于内容的图像检索中，提出一种基于灰关联度的回转窑火焰图像的检索方法。
- association based classification 基于关联的分类
- Content Based Image Retrieval(CBIR)is an extension to the traditional information retrieval.It adopts visual content rather than keyword to judge image similarity. 基于内容的图像检索(CBIR)是对传统信息检索领域的扩展.;它采用图像视觉内容的相似性判别进行查询
- Multi-features based classification approach 多特征分类
