Results 11 to 20 of about 1,457 (180)
Multi-Label Weighted Contrastive Cross-Modal Hashing
Applied Sciences, 2023 Due to the low storage cost and high computation efficiency of hashing, cross-modal hashing has been attracting widespread attention in recent years. In this paper, we investigate how supervised cross-modal hashing (CMH) benefits from multi-label and ...
Zeqian Yi +5 more
doaj +1 more source
Supervised Discrete Hashing With Relaxation [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 Data-dependent hashing has recently attracted attention due to being able to support efficient retrieval and storage of high-dimensional data such as documents, images, and videos. In this paper, we propose a novel learning-based hashing method called "Supervised Discrete Hashing with Relaxation" (SDHR) based on "Supervised Discrete Hashing" (SDH). SDH
Jie Gui +4 more
openaire +3 more sources
Supervised Incremental Hashing [PDF]
Procedings of the British Machine Vision Conference 2016, 2016 We propose an incremental strategy for learning hash functions with kernels for large-scale image search. Our method is based on a two-stage classification framework that treats binary codes as intermediate variables between the feature space and the semantic space.
Ozdemir, Bahadir +2 more
openaire +2 more sources
Deep Semantic Hashing Using Pairwise Labels
IEEE Access, 2021 Data hashing has been widely used to approximate large-scale similarity searches. Original text data can be represented using compact binary codes through hashing. Recent advances in neural network architecture have demonstrated the effectiveness of this
Richeng Xuan, Junho Shim, Sang-Goo Lee
doaj +1 more source
Non-Relaxation Deep Hashing Method for Fast Image Retrieval
IEEE Access, 2023 Deep hashing methods utilize an end-to-end framework to mutually learn feature representations and hash codes, thereby achieving a better retrieval performance.
Xiaofei Li
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Online Adaptive Supervised Hashing for Large-Scale Cross-Modal Retrieval
IEEE Access, 2020 In recent years, with the continuous growth of multimedia data on the Internet, multimodal hashing has attracted increasing attention for its efficiency in large-scale cross-modal retrieval.
Ruoqi Su +4 more
doaj +1 more source
Supervised Matrix Factorization Hashing With Quantitative Loss for Image-Text Search
IEEE Access, 2020 Image-text hashing approaches have been widely applied in large-scale similarity search applications due to their efficiency in both search speed and storage efficiency.
Huan Zhao +3 more
doaj +1 more source
Fully Connected Hashing Neural Networks for Indexing Large-Scale Remote Sensing Images
Mathematics, 2022 With the emergence of big data, the efficiency of data querying and data storage has become a critical bottleneck in the remote sensing community. In this letter, we explore hash learning for the indexing of large-scale remote sensing images (RSIs) with ...
Na Liu +5 more
doaj +1 more source
Online Supervised Sketching Hashing for Large-Scale Image Retrieval
IEEE Access, 2019 Online hashing methods have achieved a good tradeoff between the accuracy and the efficiency for learning the hash functions in the online settings. Compared to the stochastic gradient descent-based online hashing methods, the data sketching-based online
Zhenyu Weng, Yuesheng Zhu
doaj +1 more source