Results 21 to 30 of about 8,233,255 (298)
Robust Classification via Support Vector Machines
Risks, 2022 Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature.
Alexandru V. Asimit +4 more
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Few-Shot Image Classification via Mutual Distillation
Applied Sciences, 2023 Due to their compelling performance and appealing simplicity, metric-based meta-learning approaches are gaining increasing attention for addressing the challenges of few-shot image classification.
Tianshu Zhang +5 more
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Few-Shot Fine-Grained Image Classification via GNN
Sensors, 2022 Traditional deep learning methods such as convolutional neural networks (CNN) have a high requirement for the number of labeled samples. In some cases, the cost of obtaining labeled samples is too high to obtain enough samples. To solve this problem, few-
Xiangyu Zhou, Yuhui Zhang, Qianru Wei
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Classification Event Sequences via Compact Big Sequence [PDF]
Kafrelsheikh Journal of Information Sciences, 2022 The sequence classification is considered as one of the important data mining tasks. It has a broad range of real-world applications such as bioinformatics, medicine, finance, and abnormal detection.
Mosab Hassaan
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POLSAR Image Classification via Clustering-WAE Classification Model
IEEE Access, 2018 Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
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Classification performance via five-fold cross validation of algorithms.
, 2023 Classification performance via five-fold cross validation of algorithms.
Ji-Yoon Lee (2191789) +2 more
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Mapping strengths into virtues: The relation of the 24 VIA-strengths to six ubiquitous virtues
Frontiers in Psychology, 2015 The Values-in-Action (VIA)-classification distinguishes six core virtues and 24 strengths. As the assignment of the strengths to the virtues was done on theoretical grounds it still needs empirical verification.
Willibald eRuch, René T Proyer
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Texture classification via conditional histograms [PDF]
Pattern Recognition Letters, 2005 This paper presents a non-parametric discrimination strategy based on texture features characterised by one-dimensional conditional histograms. Our characterisation extends previous co-occurrence matrix encoding schemes by considering a mixture of colour and contextual information obtained from binary images.
Eugenia Montiel +2 more
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Text Classification via Semantic Representation and Similarity
, 2023 Text classification focuses on categorizing raw texts to specific predefined groups. Text classification consists of intent classification, topic classification, sentiment classification, and language identification due to different classification goals.
Xinyi Cai (2573590)
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, 2006 Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised manner, and to use this object distribution to perform scene classification.
Bosch, A, Zisserman, A, Muñoz, X
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