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Learning a hierarchy of discriminative space-time neighborhood features for human action recognition

机译：学习用于人类行为识别的判别性时空邻域特征的层次结构

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Adriana Kovashka; Kristen Grauman;
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年度 2010
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1. Discriminative Multi-View Subspace Feature Learning for Action Recognition [J] . Sheng Biyun, Li Jun, Xiao Fu, IEEE Transactions on Circuits and Systems for Video Technology . 2020,第12期

机译：判别多视图子空间特征学习动作识别
2. Metric-learning-based high-discriminative local features extraction for iris recognition [J] . Fathi Abdolhossein, Mohamadi Mahboobeh Pattern Analysis and Applications . 2019,第4期

机译：基于度量学习的高判别局部特征提取用于虹膜识别
3. Learning a Similarity Constrained Discriminative Kernel Dictionary from Concatenated Low-Rank Features for Action Recognition [J] . Shijian HUANG, Junyong YE, Tongqing WANG, IEICE transactions on information and systems . 2016,第2期

机译：从级联低位特征学习相似约束判别性内核字典以进行动作识别
4. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition [C] . Kovashka Adriana, Grauman Kristen 2010 IEEE Conference on Computer Vision and Pattern Recognition . 2010

机译：学习区分时空邻域特征的层次结构以进行人类动作识别
5. Hierarchical learning of discriminative features and classifiers for large-scale visual recognition. [D] . Zhou, Ning. 2014

机译：用于大规模视觉识别的区分性特征和分类器的分层学习。
6. Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features bypassing the phoneme as recognition unit [O] . Denis Arnold, Fabian Tomaschek, Konstantin Sering, -1

机译：通过错误驱动的学习算法可以区分自发会话语音中的单词其准确性与人类类似可以从智能声学特征中区分出含义而绕过音素作为识别单元
7. Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method [O] . Fatemeh Serpush, Mahdi Rezaei 2021

机译：使用分层特征减少和基于深度学习的方法复杂的人体行动识别

Learning a hierarchy of discriminative space-time neighborhood features for human action recognition

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