Results 51 to 60 of about 10,164 (194)

Deep Supervised Hashing with Triplet Labels

, 2017
Hashing is one of the most popular and powerful approximate nearest neighbor search techniques for large-scale image retrieval. Most traditional hashing methods first represent images as off-the-shelf visual features and then produce hashing codes in a separate stage.
Wang, Xiaofang, Shi, Yi, Kitani, Kris M.
openaire   +2 more sources

Compact Environment-Invariant Codes for Robust Visual Place Recognition

, 2017
Robust visual place recognition (VPR) requires scene representations that are invariant to various environmental challenges such as seasonal changes and variations due to ambient lighting conditions during day and night.
Jain, Unnat, Namboodiri, Vinay P., Pandey, Gaurav   +2 more
core   +1 more source

Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance

Advanced Science, EarlyView.
DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin, Emma Perrot, Thibault Dhellemmes, Laura Boi, Daniel De Castro Medeiros, Christelle Glangetas, Sylvie Dumas, Sandra Dovero, Nathalie Biendon, Elodie Ladeveze, Maëlle Hardel, Marc Landry, Erwan Bezard, Jérôme Baufreton, Gilberto Fisone, François Georges   +15 more
wiley   +1 more source

Dual Asymmetric Deep Hashing Learning

IEEE Access, 2019
Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervised deep hashing method to preserve the semantic structure among different
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang   +3 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Automated Profiling of Social Behaviors to Assess the Genetic Basis of Evolution of Aggressive Behaviors in Astyanax mexicanus

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Across the animal kingdom, social behaviors such as aggression are critical for survival and reproductive success. While there is significant variation in social behaviors within and between species, the genetic mechanisms underlying natural variation in social behaviors are poorly understood.
Renee Mapa, Stefan Choy, Solomia Lapko, Allison Kimmel, Isabel Carino‐Bazan, Johanna E. Kowalko   +5 more
wiley   +1 more source

From Expectations to Experience: A Comparison of Program Director Priorities to Resident Case Logs

The Laryngoscope, EarlyView.
The present study identified 47 essential otolaryngology procedures via program director surveys and evaluated the extent of resident participation in these cases through ACGME case logs. Results revealed significant variability in surgical experience, with nearly half of these essential procedures being logged fewer than 10 times during residency ...
Taylor S. Erickson, Yoon Soo Park, Sean Hogan, Sophie Yu, Steven D. Pletcher, Sonya Malekzadeh, Stacey T. Gray, Jenny X. Chen   +7 more
wiley   +1 more source

Centripetal Intensive Deep Hashing for Remote Sensing Image Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the breakthrough of convolutional neural networks, deep hashing methods have demonstrated remarkable performance in large-scale image retrieval tasks.
Weigang Wang, Zhongwen Guo, Ziyuan Cui, Hailei Zhao, Lintao Xian   +4 more
doaj   +1 more source

Semi-Supervised Deep Hashing with a Bipartite Graph [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Recently, deep learning has been successfully applied to the problem of hashing, yielding remarkable performance compared to traditional methods with hand-crafted features. However, most of existing deep hashing methods are designed for the supervised scenario and require a large number of labeled data. In this paper, we propose a novel semi-supervised
Xinyu Yan, Lijun Zhang, Wu-Jun Li
openaire   +1 more source

Deep Supervised Hashing by Fusing Multiscale Deep Features for Image Retrieval

Information
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, Amina Belalia, Kamel Belloulata   +2 more
doaj   +1 more source