标题
Transductive Semisupervised Deep Hashing
作者
关键词
-
出版物
IEEE Transactions on Neural Networks and Learning Systems
Volume 33, Issue 8, Pages 3713-3726
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2021-02-09
DOI
10.1109/tnnls.2021.3054386
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep Reinforcement Learning for Image Hashing
- (2019) Yuxin Peng et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder
- (2018) Jingkuan Song et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Query-adaptive Image Retrieval by Deep Weighted Hashing
- (2018) Jian Zhang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Unsupervised Deep Learning of Compact Binary Descriptors
- (2018) Kevin Lin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Hetero-Manifold Regularisation for Cross-Modal Hashing
- (2018) Feng Zheng et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Context-Aware Local Binary Feature Learning for Face Recognition
- (2018) Yueqi Duan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search
- (2018) Yeqing Li et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
- (2018) Fumin Shen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
- (2018) Huei-Fang Yang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fast Supervised Discrete Hashing
- (2018) Jie Gui et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Survey on Learning to Hash
- (2018) Jingdong Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Discriminative Deep Quantization Hashing for Face Image Retrieval
- (2018) Jinhui Tang et al. IEEE Transactions on Neural Networks and Learning Systems
- In Defense of Locality-Sensitive Hashing
- (2018) Kun Ding et al. IEEE Transactions on Neural Networks and Learning Systems
- Transfer Hashing: From Shallow to Deep
- (2018) Joey Tianyi Zhou et al. IEEE Transactions on Neural Networks and Learning Systems
- Online Hashing
- (2018) Long-Kai Huang et al. IEEE Transactions on Neural Networks and Learning Systems
- Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval
- (2018) Lei Zhu et al. IEEE Transactions on Neural Networks and Learning Systems
- Reversed Spectral Hashing
- (2018) Qingshan Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Supervised Discrete Hashing With Relaxation
- (2018) Jie Gui et al. IEEE Transactions on Neural Networks and Learning Systems
- From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning
- (2018) Jingkuan Song et al. IEEE Transactions on Neural Networks and Learning Systems
- SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval
- (2017) Jian Zhang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Semi-Supervised Multi-View Discrete Hashing for Fast Image Search
- (2017) Chenghao Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Transductive Regression for Data With Latent Dependence Structure
- (2017) Nico Gornitz et al. IEEE Transactions on Neural Networks and Learning Systems
- Binary Set Embedding for Cross-Modal Retrieval
- (2017) Mengyang Yu et al. IEEE Transactions on Neural Networks and Learning Systems
- Latent Structure Preserving Hashing
- (2016) Li Liu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Sequential Compact Code Learning for Unsupervised Image Hashing
- (2016) Li Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- MTC: A Fast and Robust Graph-Based Transductive Learning Method
- (2015) Yan-Ming Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Semi-Supervised Hashing for Large-Scale Search
- (2012) Jun Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
- (2012) Yunchao Gong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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