Zobrazeno 1 - 10
of 32 550
pro vyhledávání: '"Noise (video)"'
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:2284-2297
It is hard to construct an optimal classifier for high-dimensional imbalanced data, on which the performance of classifiers is seriously affected and becomes poor. Although many approaches, such as resampling, cost-sensitive, and ensemble learning me
Autor:
Xu Chen
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:1179-1193
Semisupervised learning has been widely applied to deep generative model such as variational autoencoder. However, there are still limited work in noise-robust semisupervised deep generative model where the noise exists in both of the data and the la
Publikováno v:
IEEE Transactions on Cybernetics. 53:1618-1628
Partial multilabel learning (PML) aims to learn from training data, where each instance is associated with a set of candidate labels, among which only a part is correct. The common strategy to deal with such a problem is disambiguation, that is, iden
Publikováno v:
IEEE Transactions on Mobile Computing. 22:935-950
In fingerprint-based indoor localization, fusing radio frequency (RF) and geomagnetic signals has been shown to achieve promising results. To efficiently collect fingerprints, implicit crowdsourcing can be used, where signals sampled by pedestrians a
Autor:
Antonio F. Skarmeta, Jose Luis Hernandez Ramos, Jorge Bernal, Aurora González-Vidal, Enrique Marmol-Campos, Pedro Ruzafa-Alcazar, Pablo Fernandez-Saura
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:1145-1154
Federated Learning (FL) has attracted significant interest given its prominent advantages and applicability in many scenarios. However, it has been demonstrated that sharing updated gradients/weights during the training process can lead to privacy co
Publikováno v:
IEEE Transactions on Mobile Computing. 22:1036-1048
The wide deployment of machine learning algorithms has become a severe threat to user data privacy. As the learning data is of high dimensionality and high orders, preserving its privacy is intrinsically hard. Conventional differential privacy mechan
Publikováno v:
IEEE Transactions on Affective Computing. 14:591-602
Players-based emotion recognition can help understanding game players emotional states, contributing to the improvement of the games quality and value. This paper proposes a new hybrid neural network learning framework called convolutional smooth fee
Publikováno v:
IEEE Transactions on Multimedia. 25:430-442
The austere challenge of visual object tracking is to find the target to be tracked in various noise interference and obtain its accurate bounding box coordinates. Recently, the object tracking technology based on the Siamese network has made great b
Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence
Autor:
John C. S. Lui, Hong Xie
Publikováno v:
IEEE Transactions on Mobile Computing. 22:459-471
Worker reliability estimation is fundamental for crowdsensing applications. This paper studies a robust feedback rating approach to estimate worker reliability. In this approach, the requester provides a feedback rating to reflect the quality of the
Autor:
Safaa O. Al-Mamory, Israa S. Kamil
Publikováno v:
Materials Today: Proceedings. 80:2625-2630
Density-Based clustering are the main clustering algorithms because they can cluster data with different shapes and densities, but some of these algorithms have high time complexity like OPTICS (Ordering Points to Identify Clustering Structure) and D