Results 31 to 40 of about 170,367 (287)
An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval [PDF]
, 2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Bruzzone, Lorenzo +2 more
core +1 more source
A General Two-Step Approach to Learning-Based Hashing [PDF]
, 2013 Most existing approaches to hashing apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form.
Hengel, Anton van den +3 more
core +1 more source
Alternate Optimization Method for 3D Pulmonary Nodules Retrieval Based on Medical Sign
Taiyuan Ligong Daxue xuebao, 2022 In order to solve the problems such as the complicated process of manual diagnosis and retrieval, high misdiagnosis rate, large amount of data, sparse Hash codes, a 3D ResNet network based on multi-label semantic supervision was proposed to quantify the ...
Yanan ZHANG +4 more
doaj +1 more source
Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues
Remote Sensing, 2022 With the significant and rapid growth in the number of remote-sensing images, deep hash methods have become a research topic. The main work of deep hash method is to build a discriminate embedding space through the similarity relation between sample ...
Pingping Liu +3 more
doaj +1 more source
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases [PDF]
, 2016 In this paper we present an efficient method for visual descriptors retrieval based on compact hash codes computed using a multiple k-means assignment. The method has been applied to the problem of approximate nearest neighbor (ANN) search of local and ...
Bertini, Marco +2 more
core +2 more sources
Semi-supervised hash learning method with consistency-based dimensionality reduction
Advances in Mechanical Engineering, 2019 With the explosive growth of surveillance data, exact match queries become much more difficult for its high dimension and high volume. Owing to its good balance between the retrieval performance and the computational cost, hash learning technique is ...
Fang Lv +3 more
doaj +1 more source
Unsupervised image hashing algorithm based on sparse-autoencoder [PDF]
Jisuanji gongcheng, 2019 The hash method is widely used in large-scale image retrieval due to its fast and low memory characteristics,but it lacks research on data sparsity in the construction of hash functions.To this end,an unsupervised sparse self-encoding image hash ...
DAI Yalan,HE Lang,HUANG Zhangcan
doaj +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
, 2018 In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency loss.
Shao, Ling, Wang, Yang, Wu, Lin
core +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source