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- In this paper, we proposed a new feature selection method called Conditional Mutual Information Maximin (CMIM).It can select a set of individually discriminating and weakly dependent features. 提出了一种新的用于文本分类的特征选择算法(CMIM),它可以帮助选出区分能力强、弱相关的特征。
- conditional mutual information between relative values 相对值条件互信息
- Improved feature selection algorithm with conditional mutual information 一种改进的基于条件互信息的特征选择算法
- conditional mutual information 条件互信息
- This paper proposed a mutual information based method for generating video abstraction. 摘要提出了一种基于交互信息量的视频摘要生成方法。
- NSB entropy and mutual information estimator; applications to the analysis of neural code. 主题:生物信息学(),信息分析(),数学(),物理
- Maximum mutual information(MMI) is the most popular method in VSB.In this thesis we analyse its characters. 在基于体素的方法中,最大化互信息法是目前研究的热点,本文对最大互信息法的性能做了详细的分析。
- A new approach, mutual information registration based on feature-label(MIF), is proposed to solve such problem. 为减少这种配准误差,提出了一种基于特征分类的互信息医学图像弹性配准方法。
- Mutual information is an important method for multimodal medical image registration. 互信息是多模态医学图像配准的一种重要方法。
- The mutual information function can be ill defined, containing local maxima result in misregistration. 除此之外,还详细研究了插值方法和灰度级别对互信息配准方法的影响。
- Exploring Attribute Correspondences Across Heterogeneous Databases by Mutual Information By: Huimin Zhao; Soofi, Ehsan S. 通过互信息探索异构数据库的属性对应。
- The recognition rate is increased when maximum mutual information esti- mation is applied into connected digit speech recognition . 最大互信息估计用于连接数字语音识别,识别率得到了提高。
- The registration results of computed tomography(CT) and magnetic resonance(MR) are validated to be subpixel based on mutual information. 计算机断层扫描成像CT和核磁共振MRI的配准实验证明,互信息法能准确地实现多模态医学图象的配准,并且能达到亚象素的精度。
- Second, it builds a two grams model and uses mutual information to extract the compound words. Its precision is 85.95% while recalling rate is 71.48%. 第二步;在此基础上;建立二元模型结合互信息提取未登录词;该步准确率为85.;95%25;召回率为71
- A new algorithm of infrared and visible light image registration based on normalized mutual information(NMI) and wavelet transform is given. 摘要 针对灰度和图像特征存在较大差异的可见光和红外图像配准,给出了一种基于归一化互信息与小波变换相结合的快速图像配准算法。
- Method:Mutual information is introduced to analyse the relationship between indented tongue of subjects were examined with tongue diagnosis. 方法:采用互信息的方法分析体检人群的齿痕舌与舌象其他因素的关联性。
- This paper discusses image registration technique in details.Based on mutual information between images, we register multimodality medical images. 本文深入研究了医学图像配准的相关技术,应用图像互信息最为配准准则,对核磁共振、超声等多模态图像进行了配准。
- First, a set of reliable, independent, and discriminative features are extracted according to the maximal mutual information. 首先,利用最大互信息获得一组可靠、独立且具辨认力的目标特徵集。
- By expatiating image registration method based on wavelet transformation and mutual information, an improved image registration algorithm was proposed. 摘要在基于小波分解和互信息测度的图像配准方法的基础上,提出一种改进的快速图像配准算法。
- In this paper, mutual information of sleep EEG sequence is estimated by the method of adaptive partition, and delay time is established by the rule of minimum mutual information. 本文以睡眠脑电序列为实验对象,采用自适应单元分割法计算互信息,按互信息极小原则确定延迟时间。