Results 71 to 80 of about 407 (177)

Graph Contrastive-and-Reconstructive Hashing for Unsupervised Cross-Modal Retrieval

Data Science and Engineering
Hashing-based unsupervised cross-modal retrieval has gained significant attention in the big data management community due to its low storage overhead and rapid retrieval speed. However, current methods often lack effective alignment strategies to reduce
Rukai Wei, Yu Liu, Heng Cui, Yanzhao Xie, Ke Zhou   +4 more
doaj   +1 more source

Co‐Design at the Boundary: Understanding the Dynamics of Open Innovation Between Companies and Communities

Journal of Product Innovation Management, EarlyView.
ABSTRACT For over two decades, firms have built platforms and engaged open innovation communities to improve and customize their products through widened participation in the design process. While the benefits of involving those outside a firm as co‐designers have been well described, how co‐design processes unfold over time at the boundary between ...
Eric Reynolds Brubaker, Francesca Bellesia, Elisa Mattarelli, Pamela J. Hinds   +3 more
wiley   +1 more source

Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval

Data Science and Engineering
Unsupervised hashing for cross-modal retrieval has received much attention in the data mining area. Recent methods rely on image-text paired data to conduct unsupervised cross-modal hashing in batch samples.
Mengying Xu, Linyin Luo, Hanjiang Lai, Jian Yin   +3 more
doaj   +1 more source

The hard and soft of it: The role of substrate in patterns of phase dominance and phenology in Gracilaria vermiculophylla

Journal of Phycology, EarlyView.
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, Alexis P. Oetterer, Darian M. Kelley, Will H. Ryan   +3 more
wiley   +1 more source

A clonal legacy? Reproductive mode variation in hard‐ and soft‐bottom Gracilaria vermiculophylla populations

Journal of Phycology, EarlyView.
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, Solenn Stoeckel, Will H. Ryan, Stacy A. Krueger‐Hadfield   +3 more
wiley   +1 more source

A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval

High-Confidence Computing
Unsupervised cross-modal hashing has achieved great success in various information retrieval applications owing to its efficient storage usage and fast retrieval speed.
Chun-Ru Dong, Jun-Yan Zhang, Feng Zhang, Qiang Hua, Dachuan Xu   +4 more
doaj   +1 more source

Finding the Words: How Does the Aging Brain Process Language? A Focused Review of Brain Connectivity and Compensatory Pathways

Topics in Cognitive Science, EarlyView.
Abstract As people age, there is a natural decline in cognitive functioning and brain structure. However, the relationship between brain function and cognition in older adults is neither straightforward nor uniform. Instead, it is complex, influenced by multiple factors, and can vary considerably from one person to another.
Monica Baciu, Elise Roger
wiley   +1 more source

Hear Me Out: A Lesson in Civil Discourse

Journal of Legal Studies Education, Volume 43, Issue 1, Page 7-30, Winter 2026.
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

Weakly-paired Cross-Modal Hashing

, 2019
Hashing has been widely adopted for large-scale data retrieval in many domains, due to its low storage cost and high retrieval speed. Existing cross-modal hashing methods optimistically assume that the correspondence between training samples across modalities are readily available. This assumption is unrealistic in practical applications.
Liu, Xuanwu, Wang, Jun, Yu, Guoxian, Domeniconi, Carlotta, Zhang, Xiangliang   +4 more
openaire   +2 more sources

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
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, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source