Suchergebnisse - semisupervised active learning algorithm

A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification von Wang, Zengmao, Du, Bo, Zhang, Lefei, Zhang, Liangpei, Jia, Xiuping

“… Active learning and semisupervised learning are two promising techniques to address the problem …”
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Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning von Li, Xu, Hong, Lin, Wang, Jian-chun, Liu, Xiang

“… manually, posing some difficulties to detect fatigue driving with these data. In this work, the authors propose a novel fatigue driving detection model based on multi-feature fusion and semi-supervised active learning. In the authors …”
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A Novel Active Semisupervised Convolutional Neural Network Algorithm for SAR Image Recognition von Yang, Erfu, Sun, Jinping, Wang, Jun, Yue, Zhenyu, Gao, Fei, Zhou, H.

“… To solve this problem, in this paper, we present a novel active semisupervised CNN algorithm …”
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Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning von Qiuhua Liu, Xuejun Liao, Carin, L.

“… Semi supervised learning and active learning are considered for unexploded ordnance (UXO) detection …”
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Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data von Gu, Bin, Zhai, Zhou, Deng, Cheng, Huang, Heng

“… Although there have been several active learning methods proposed by combining with semisupervised learning, fast active learning with fully exploiting unlabeled data and querying discriminative …”
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SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs von Li, Yayong, Yin, Jie, Chen, Ling

“… Active learning (AL) on attributed graphs has received increasing attention with the prevalence of graph-structured data …”
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Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning von Jun Li, Bioucas-Dias, José M, Plaza, Antonio

“… The algorithm implements two main steps: 1) semisupervised learning of the posterior class distributions followed by 2 …”
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Semisupervised Self-Learning for Hyperspectral Image Classification von Dopido, Inmaculada, Jun Li, Marpu, P. R., Plaza, A., Bioucas Dias, Jose M., Benediktsson, J. A.

“… This observation has fostered the idea of adopting semisupervised learning techniques in hyperspectral image classification …”
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Online Semisupervised Active Classification for Multiview PolSAR Data von Nie, Xiangli, Fan, Mingyu, Huang, Xiayuan, Yang, Wenjing, Zhang, Bo, Ma, Xiaoshuang

“… In this article, we propose an online semisupervised active learning framework for multiview PolSAR data classification, called OSAM …”
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SuperRAENN: A Semisupervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium-Deep Survey Supernovae von Villar, V. Ashley, Hosseinzadeh, Griffin, Berger, Edo, Ntampaka, Michelle, Jones, David O., Challis, Peter, Chornock, Ryan, Drout, Maria R., Foley, Ryan J., Kirshner, Robert P., Lunnan, Ragnhild, Margutti, Raffaella, Milisavljevic, Dan, Sanders, Nathan, Pan, Yen-Chen, Rest, Armin, Scolnic, Daniel M., Magnier, Eugene, Metcalfe, Nigel, Wainscoat, Richard, Waters, Christopher

“… Using this data set, we train a novel semisupervised machine learning algorithm to photometrically …”
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Semisupervised Online Multikernel Similarity Learning for Image Retrieval von Liang, Jianqing, Hu, Qinghua, Wang, Wenwu, Han, Yahong

“… The proposed method is a multistage algorithm consisting of feature selection, selective ensemble learning, active sample selection, and triplet generation …”
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Semisupervised Classification of Remote Sensing Images With Active Queries von Munoz-Mari, J., Tuia, D., Camps-Valls, G.

“… Since the quality of the map depends of the number and informativeness of the labeled pixels, active learning methods are used to select the most informative samples to increase confidence in class membership …”
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PeakDetective: A Semisupervised Deep Learning-Based Approach for Peak Curation in Untargeted Metabolomics von Stancliffe, Ethan, Patti, Gary J

“… To address this bottleneck in metabolomics data processing, we developed a semisupervised deep learning-based approach, PeakDetective, for classification of detected peaks as artifacts or true peaks …”
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Artificial Intelligence-Based Semisupervised Self-Training Algorithm in Pathological Tissue Image Segmentation von Li, Qun, Liu, Linlin

“… Because the image segmentation algorithm based on the semisupervised self-training algorithm solves initialization class center large randomness problem in the traditional cluster-based image …”
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A multi-granularity semisupervised active learning for point cloud semantic segmentation von Ye, Shanding, Yin, Zhe, Fu, Yongjian, Lin, Hu, Pan, Zhijie

“… To reduce the annotation efforts, we propose a multi-granularity semisupervised active learning pipeline which aims to select representative, uncertain and diverse data to annotate …”
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Variational Adversarial Active Learning von Sinha, Samrath, Ebrahimi, Sayna, Darrell, Trevor

“… Active learning aims to develop label-efficient algorithms by sampling the most representative queries to be labeled by an oracle …”
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A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes von Zhicong Qiu, Miller, David J., Kesidis, George

“… We investigate semisupervised learning (SL) and pool-based active learning (AL) of a classifier for domains with label-scarce (LS …”
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Active and Semisupervised Learning for the Classification of Remote Sensing Images von Persello, Claudio, Bruzzone, Lorenzo

“… This paper aims at analyzing and comparing active learning (AL) and semisupervised learning (SSL …”
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Spatial-Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery von Wang, Liguo, Hao, Siyuan, Wang, Ying, Lin, Yun, Wang, Qunming

“… Semisupervised learning has shown its great potential in land cover mapping. It exploits the information of unlabeled training samples and converts those samples to labeled training samples to enhance classification …”
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Semisupervised Federated Learning for Temporal News Hyperpatism Detection von Ahmed, Usman, Lin, Jerry Chun-Wei, Srivastava, Gautam

“… In this article, we present a news article retrieval model based on active learning (AL) in a semisupervised learning setting …”
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