Results 121 to 130 of about 3,537 (211)

MTL-FSFDet: An Effective Forest Smoke and Fire Detection Model Based on Multi-Task Learning

Forests
Forest fires cause devastating damage to the natural environment, making prompt and precise detection of smoke and fires in forests crucial. When processing forest fire images based on ground and aerial perspectives, current object detection methods still encounter issues, such as inadequate detection precision, elevated false detection and omission ...
Chenyu Zhang, Yunfei Liu, Cong Chen, Junhui Li   +3 more
openaire   +1 more source

Multi-Task Learning Approach for Natural Images' Quality Assessment

, 2018
Blind image quality assessment (BIQA) is a method to predict the quality of a natural image without the presence of a reference image. Current BIQA models typically learn their prediction separately for different image distortions, ignoring the ...
F. Frangi, Alejandro; CISTIB, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK, Shao, Ling; School of Computing Sciences, University of East Anglia, Norwich, UK, Darsono, Abdul Majid; Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia, Abdul Manap, Redzuan; Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. CISTIB, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.   +3 more
core  

Minimum Enclosing Ball-based Learner Independent Knowledge Transfer for Correlated Multi-task Learning

, 2011
Multi-Task Learning (MTL), as opposed to Single Task Learning (STL), has become a hot topic in machine learning research. For many real world problems in application areas such as medical decision making, pattern recognition, and finance forecasting ...
Fan, Liu
core   +1 more source

Deep Multi-task Representation Learning: A Tensor Factorisation Approach [PDF]

, 2017
Most contemporary multi-task learning methods assume linear models. This setting is considered shallow in the era of deep learning. In this paper, we present a new deep multi-task representation learning framework that learns cross-task sharing structure
Hospedales, Timothy; id_orcid, Yang, Yongxin   +1 more
core  

Sharing to Learn and Learning to Share [Elektronisk resurs] : Meta-learning to Enhance Multi-task Learning

Multi-Task Learning (MTL) enables simultaneous learning of multiple tasks in a shared framework following the principle of ‘sharing to learn,’ to improve the performance of all the tasks.
Phlypo, Ronald,, Upadhyay, Richa,, Saini, Rajkumar,, Prasad, Dilip K.,, Liwicki, Marcus,   +4 more
core  

Multi-Task and Federated Learning for Breast and Lung Cancer Screening and Diagnosis: A Survey and Future Research Directions. [PDF]

J Imaging
Ciobotaru A, Corches C, Gota D, Miclea L.   +3 more
europepmc   +1 more source

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts

Multi-task learning (MTL) is widely utilized across a variety of real-world applications, including recommendation systems. For instance, in the field of e-commerce, MTL is commonly employed to simultaneously model click, conversion, and user dwelling ...
Wu, Zhengwei, Han, Fengyu, Zhang, Gong-Duo, Zhao, Qian, Gu, Lihong, Zhou, Lin, Liu, Ziqi, Su, Huan-Yi, Chen, Ruiqing   +8 more
core   +1 more source

Evaluating multi-task network architectures for simultaneous breast lesion segmentation and classification in ultrasound images. [PDF]

Med Biol Eng Comput
Ferreira MR, Torres HR, Oliveira B, de Araújo ARVF, Morais P, Novais P, Vilaça JL.   +6 more
europepmc   +1 more source

Physics-Guided Multi-Task Learning for Small-Sample Soft Sensing: Simultaneous Prediction of Kappa Number and Viscosity in Continuous Kraft Pulping. [PDF]

Sensors (Basel)
Zhang B, Shi L, Zhang X, Xu M.
europepmc   +1 more source

Key Indicator Detection and Authenticity Identification of Beer Based on Near-Infrared Spectroscopy Combined with Multi-Task Feature Extraction. [PDF]

Molecules
Wei Y, Xi G, Liu J, Lu Y, Tan C, Xu C, Li W.   +6 more
europepmc   +1 more source