Results 21 to 30 of about 259,134 (247)
Optimistic semi-supervised least squares classification [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 6 pages, 6 figures.
Krijthe, Jesse H., Loog, Marco
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Augmentation Learning for Semi-Supervised Classification
, 2022 Recently, a number of new Semi-Supervised Learning methods have emerged. As the accuracy for ImageNet and similar datasets increased over time, the performance on tasks beyond the classification of natural images is yet to be explored. Most Semi-Supervised Learning methods rely on a carefully manually designed data augmentation pipeline that is not ...
Frommknecht, Tim +4 more
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Semi-supervised Learning on Graphs Using Adversarial Training with Generated Sample [PDF]
Jisuanji kexue yu tansuo, 2023 Given a graph composed of a small number of labeled nodes and a large number of unlabeled nodes, semi-supervised learning on graphs aims to assign labels for the unlabeled nodes.
WANG Cong, WANG Jie, LIU Quanming, LIANG Jiye
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Digging Into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation
IEEE Access, 2020 The capability to understand visual scenes with limited labeled data has been widely concerned in the field of computer vision. Although semi-supervised learning for image classification has been extensively studied in some cases, semantic segmentation ...
Zhenghao Chen +4 more
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Milking CowMask for Semi-supervised Image Classification [PDF]
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022 Consistency regularization is a technique for semi-supervised learning that underlies a number of strong results for classification with few labeled data. It works by encouraging a learned model to be robust to perturbations on unlabeled data. Here, we present a novel mask-based augmentation method called CowMask.
French, Geoff +2 more
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Semi-Supervised DEGAN for Optical High-Resolution Remote Sensing Image Scene Classification
Remote Sensing, 2022 Semi-supervised methods have made remarkable achievements via utilizing unlabeled samples for optical high-resolution remote sensing scene classification.
Jia Li +4 more
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Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees [PDF]
, 2016 This paper investigates an important problem in stream mining, i.e., classification under streaming emerging new classes or SENC. The common approach is to treat it as a classification problem and solve it using either a supervised learner or a semi ...
Mu, Xin, Ting, Kai Ming, Zhou, Zhi-Hua
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Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning
IEEE Access, 2022 The annotation of large datasets is often the bottleneck in the successful application of artificial intelligence in computational pathology. For this reason recently Multiple Instance Learning (MIL) and Semi Supervised Learning (SSL) approaches are ...
Arne Schmidt +3 more
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DE-ELM-SSC+：Semi-supervised Classification Algorithm
Jisuanji kexue yu tansuo, 2020 The combinations of evolutionary algorithms (EA) and analytical methods have been extensively studied in the fields of machine learning in recent years. This paper focuses on how to combine a differential evolution (DE) algorithm with the semi-supervised
PANG Jun, HUANG Heng, ZHANG Shou, SHU Zhiliang, ZHAO Yuhai
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Semi-supervised Long-tail Endoscopic Image Classification
Chinese Medical Sciences Journal, 2022 Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image classification with limited annotations. Method We explored semi-supervised long-tail endoscopic image classification in HyperKvasir, the largest gastrointestinal public dataset with 23 diverse classes.
Run-Nan, Cao +4 more
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