unsupervised feature learning 无监督特征学习
feature learning clustering 特征学习聚类
Adversarial Feature Learning 对抗特征学习
multi-task feature learning 多任务特性学习
Feature of Motor Skill Learning 动作技能学习的特征
Young Learning feature 学习者特征
feature weight learning 特征权学习
learning feature 学习特征
feature weight learning algorithm 属性权重学习算法
And we extend the feature learning clustering algorithm into database with categorical attributions.
并将特征学习聚类拓展到具有类属性数据聚类中。
参考来源 - 聚类中的特征学习研究Six dimensions could be very important for rule come into being of category leaning. The structure of category dimensionality has impact on example learning and feature learning.
推理式学习方式下,类别维度数量的变化对样例学习有显著影响,对特征学习有显著影响,6维度类别可能是规则形成的临界点。
参考来源 - 材料维度数量和结构复杂性对类别学习的影响·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Secondly, we develop a new face detection algorithm that works directly on the wavelet compressed domain based on the same paired feature learning framework.
接著， 我们利用这篇论文提出的成对特徵学习，开发出一套可直接在小波压缩域上进 行人脸侦测的新演算法。
In summary, all these experiments demonstrate the improvement in accuracy by using the proposed paired feature learning in an AdaBoost classification framework.
总结说来，这些应用皆显示我们提出的成对特征学习演算法，可大幅增进分类准确率。
Course collaboration is an essential feature in a collaborative learning environment.
课程协作是协作学习环境中必不可少的特性。
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