Results 31 to 40 of about 102,109 (257)

Semi-supervised Classification Based Mixed Sampling for Imbalanced Data

Open Physics, 2019
In practical application, there are a large amount of imbalanced data containing only a small number of labeled data. In order to improve the classification performance of this kind of problem, this paper proposes a semi-supervised learning algorithm ...
Zhao Jianhua, Liu Ning
doaj   +1 more source

Fingerprint Liveness Detection in the Presence of Capable Intruders

Sensors, 2015
Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the
Ana F. Sequeira, Jaime S. Cardoso
doaj   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification

Remote Sensing, 2020
Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classification.
Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang   +5 more
doaj   +1 more source

Cooperative play classification in team sports via semi-supervised learning

International Journal of Computer Science in Sport, 2022
Classifying multi-agent cooperative behavior is a fundamental problem in various scientific and engineering domains. In team sports, many cooperative plays can be manually labelled by experts.
Ziyi Zhang, Takeda Kazuya, Fujii Keisuke
doaj   +1 more source

A semi-supervised cycle-GAN neural network for hyperspectral image classification with minimum noise fraction

Journal of Spectral Imaging, 2022
Hyperspectral imaging (HSI) is a popular mode of remote sensing imaging that collects data beyond the visible spectrum. Many classification techniques have been developed in recent years, since classification is the most crucial task in hyperspectral ...
Tatireddy Subba Reddy, Jonnadula Harikiran   +1 more
doaj   +1 more source

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition [PDF]

, 2020
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable.
Latif, Siddique, Rana, Rajib, Epps, Julien, Khalifa, Sara, Jurdak, Raja, Schuller, Bjorn W., Schuller, Björn   +6 more
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Semi-supervised Remote Sensing Image Scene Classification Based on Generative Adversarial Networks

International Journal of Computational Intelligence Systems, 2022
With the availability of numerous high-resolution remote sensing images, remote sensing image scene classification has been widely used in various fields. Compared with the field of natural images, the insufficient number of labeled remote sensing images
Dongen Guo, Zechen Wu, Yuanzheng Zhang, Zhen Shen   +3 more
doaj   +1 more source

Unlabeled pattern management through Semi-Supervised classification techniques [PDF]

, 2022
l'obbiettivo di questo progetto consiste nell'analizzare le performance di alcuni algoritmi di semi-supervised learning proposti negli ultimi anni. In particolare si è usato un algoritmo di feature selection basato su Self-training per determinare l ...
Segato, Giordano
core