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classifier相关的网络例句

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与 classifier 相关的网络例句 [注:此内容来源于网络,仅供参考]

But it doesn\'t need label the training samples and not build a self-governed classifier for each topic.

但是情感分类方法不需要人工标注训练样本,不需要针对每个主题构建一个独立的分类器,所以这种方法有较强的通用性,而且分类速度也要快很多。

But it doesnt need label the training samples and not build a self-governed classifier for each topic.

但是情感分类方法不需要人工标注训练样本,不需要针对每个主题构建一个独立的分类器,所以这种方法有较强的通用性,而且分类速度也要快很多。

Among these factors, class separability represents the nature of data set and decides the optimal performance of classifier.

其中类别可分性代表了数据集的自然特性并决定了分类器能够获得的最优性能。

This paper studies the linear separability of Chinese characters through experiment and discusses the probability of applying linear classifier in Chinese character recognition.

本文通过实验研究了在汉字识别中应用线性分类器的可能性,考察了汉字之间的线性可分性。

The method consists of tree steps: enhancement, contour segmentation, and feature selection. In this study, our method is able to enhance the signals from masses and extract the useful contour feature from the segmented regions. The ruler method of fractal dimension computed for each case was used to form a contour feature. These feature measures can be input to a classifier based on sorting. The experimental results show that our scheme can provide useful contour extraction for spiculation structures in mammographic images.

我们的研究目的是在乳房的X光影像中选取肿瘤怀疑的区域,分成三步骤,影像前处理、轮廓分割、特徵选取,找出具有星状物轮廓的肿瘤,我们的方法首先强化肿瘤组织,接著有效分割出肿瘤的轮廓,最后利用规则式的碎形维度计算其轮廓特徵值,接著排序分出肿瘤轮廓类别,实验结果证明我们的方法可有效侦测出星状物肿瘤轮廓及其特徵。

Such as new typed air classifier can meet the requirements of submicron classification.

新设计的气流分级机可达到对颗粒进行亚微米分级的要求。

Then we verify the topos property of RS and find thatRS has all topos properties except one, for it has no subobject classifier. There-fore RS is not a topos.

证明了I-粗集的范畴满足topos 的前四条性质,并证明了它不存在SC,从而证明了该范畴不是topos。

All learners will enjoy it and at the same time learn about such things as numeral-classifier compounds, synonyms, antonyms, words in neutral tone, suffixation of non-syllabic words, contradictory words, foreign words, colloquial words, written terms, self-depreciatory expressions, forbidden terms, idioms, words with many pronunciations, homophonic words, development and standardization of characters and terms.

学习者可以在轻松愉快的阅读中学习有关数量词、同义词、反义词、轻声词、儿化词、矛盾词、外来词、口语词、书面词、谦敬语、禁忌语、成语、多音字、谐音字、异读字、同音词、词义的分化、词汇的发展与规范以及词语中的文化知识等,以巩固和提高汉语水平,扩大汉语语言方面的视野。

The results show that this classifier has better efficiency performance in processing the flour and talcum powder in the range of 49 μm(300 mesh)-84 μm(180 mesh).

结果表明,该筛分机对处理粒度为49μm(300目)-84μm(180 目)的面粉和滑石粉具有较高的分级效率。

In this framework, image frame, audio and text are represented, which are the three modalities in video shots as data points by the 3rd-order tensor. Then a subspace embedding and dimension reduction method is proposed, which explicitly considers the manifold structure of the tensor space from temporal-sequenced associated co-occurring multimodal media data in video. It is called TensorShot approach. Transductive learning uses a large amount of unlabeled data together with the labeled data to build better classifiers. A transductive support tensor machines algorithm is proposed to train effective classifier. This algorithm preserves the intrinsic structure of the submanifold where tensorshots are sampled, and is also able to map out-of-sample data points directly. Moreover, the utilization of unlabeled data improves classification ability.

在此框架中,视频镜头首先被表示成由视频中所包含的文本、视觉和听觉等多模态数据构成的三阶张量;其次,基于此三阶张量表达及视频的时序关联共生特性设计了一种子空间嵌入降维方法,称为张量镜头;由于直推式学习从已知样本出发能对特定的未知样本进行学习和识别,最后在这个框架中提出了一种基于张量镜头的直推式支持张量机算法,它不仅保持了张量镜头所在的流形空间的本征结构,而且能够将训练集合外数据直接映射到流形子空间,同时充分利用未标记样本改善分类器的学习性能。

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