The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential
International Journal of Machine Learning and CyberneticsHuang G-B, Wang D, Lan Y (2011) Extreme learning machines: a survey. Int J Machine Learn Cybern 2:107-122Guang-Bin Huang, DianHui Wang, and Yuan Lan. Extreme learning machines: a survey. International Journal of Machine Learning and ...
In essence, it is a method of learning complex feature representation based on original feature input through multi-layer nonlinear processing. If combined with specific domain tasks, DL can construct new classifiers or generating tools through the feature representation of automatic learning and realize...
Rapid mapping of event landslides is crucial to identify the areas affected by damages as well as for effective disaster response. Traditionally, such maps are generated with visual interpretation of remote sensing imagery (manned/unmanned airborne syste
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP. arXiv preprint arXiv:200908633. 2020; Zhang J, Chang W cheng, Yu H fu, Dhillon I. Fast multi-resolution transformer fine-tuning for extreme multi-label text classification. Advances in Neural Information Processing Systems. 2021;34. ...
In recent years, the problem of addressing fairness in machine learning (ML) and automatic decision making has attracted a lot of attention in the scientific communities dealing with artificial intelligence. A plethora of different definitions of fairnes
[AA] Learning Data Augmentation Strategies for Object Detection | [arXiv' 19] |[pdf] [Spinenet] Spinenet: Learning scale-permuted backbone for recognition and localization | [arXiv' 19] |[pdf] Object Detection in 20 Years: A Survey | [arXiv' 19] |[pdf] 2020...
not be tuned. Compared with those traditional computational intelligence techniques, ELM provides better generalization performance at a much faster learning speed and with least human intervene. This paper gives a survey on ELM and its variants, especially on (1) batch learning mode of ELM, (2)...
A Survey on Extreme Learning Machine and Evolution of Its Variants Chapter© 2019 Explore related subjects Discover the latest articles, news and stories from top researchers in related subjects. Artificial Intelligence 1Introduction Neural network, which usually refers to artificial neural network, was...
In this context, there were many attempts to deal with multi-label learning/classification problems. In [47], the authors concentrated on how to learn classifiers the balanced label through label representation, using a proposed algorithm, namely, Parabel. This algorithm could learn the balanced ...