Results 71 to 80 of about 1,457 (180)
Deep Supervised Discrete Hashing
With the rapid growth of image and video data on the web, hashing has been extensively studied for image or video search in recent years. Benefit from recent advances in deep learning, deep hashing methods have achieved promising results for image retrieval.
Li, Qi +3 more
openaire +2 more sources
Abstract Despite the importance of the seasonal timing of events in the life cycle for understanding population dynamics, we lack information on the phenology of most macroalgal species. The red macroalga Gracilaria vermiculophylla has become common in both hard‐ and soft‐bottom habitats following its invasion throughout the Northern Hemisphere.
Stacy A. Krueger‐Hadfield +3 more
wiley +1 more source
Abstract The invasion of the red macroalga Gracilaria vermiculophylla provided an opportunity to investigate the influence of benthic habitats on the reproductive mode, population structure, and colonization dynamics in haploid‐diploid life cycles.
Alexis P. Oetterer +3 more
wiley +1 more source
Robust Supervised Deep Discrete Hashing for Cross-Modal Retrieval
The exponential growth of multi-modal data in the real world poses significant challenges to efficient retrieval, and traditional single-modal methods are no longer suitable for the growth of multi-modal data.
Xiwei Dong +7 more
doaj +1 more source
Hear Me Out: A Lesson in Civil Discourse
Abstract This article describes an innovative and engaging lecture and class exercise designed to teach students how to think critically about issues from different perspectives and communicate effectively with those who disagree with them. The interactive lecture and class exercise introduce a civil discourse framework to encourage constructive ...
Cheryl L. Black
wiley +1 more source
Supervised Consensus Anchor Graph Hashing for Cross Modal Retrieval
Cross–modal hashing has gained significant attention due to its efficient computational capabilities and impressive retrieval performance. Most supervised methods rely on the auxiliary learning of a similarity matrix, which incurs computational ...
Rui Chen, Hongbin Wang
doaj +1 more source
Asymmetric Deep Semantic Quantization for Image Retrieval
Due to its fast retrieval and storage efficiency capabilities, hashing has been widely used in nearest neighbor retrieval tasks. By using deep learning-based techniques, hashing can outperform non-learning-based hashing technique in many applications ...
Zhan Yang +3 more
doaj +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Deep Supervised Hashing by Fusing Multiscale Deep Features for Image Retrieval
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable ...
Adil Redaoui +2 more
doaj +1 more source
Medical Image Retrieval Based on Convolutional Neural Network and Supervised Hashing
In recent years, with extensive application in image retrieval and other tasks, a convolutional neural network (CNN) has achieved outstanding performance.
Yiheng Cai +4 more
doaj +1 more source

