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   Articles with "data description" as a keyword



Fast distant support vector data description

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recommendations! Published in 2017 at "Memetic Computing"

DOI: 10.1007/s12293-016-0189-y

Abstract: As an indispensable approach of one class classification, support vector data description (SVDD) has been studied within diverse research areas and application domains. Distant SVDD (dSVDD) is a variant of SVDD that shows higher identification… read more here.

Keywords: fast distant; support vector; vector data; svdd ... See more keywords

Ellipsoidal data description

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.01.070

Abstract: A generalized version of SVDD which considers feature variance of each dimension adaptively.Solution of ELPDD can be obtained by solving a convex optimization problem.A Mahalanobis distance for novelty detection.A strategy to speed up training for… read more here.

Keywords: dimension; svdd; data description; description ... See more keywords

Counterfactual building and evaluation via eXplainable Support Vector Data Description

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3180026

Abstract: Increasingly in recent times, the mere prediction of a machine learning algorithm is considered insufficient to gain complete control over the event being predicted. A machine learning algorithm should be considered reliable in the way… read more here.

Keywords: vector data; support vector; support; data description ... See more keywords

Multiclass Support Vector Data Description With Dynamic Time Warping Kernel for Monitoring Fires in Diverse Nonfire Environments

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3561725

Abstract: On a global scale, fire disasters present a serious risk to human well-being and the natural surroundings and infrastructure. Traditional fire detection methods encounter a challenge of data imbalance, with an abundance of nonfire scenario… read more here.

Keywords: support vector; data description; description dynamic; fire ... See more keywords

Query by Example in Remote Sensing Image Archive Using Enhanced Deep Support Vector Data Description

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3233105

Abstract: This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification to recover the most relevant samples from the archive.… read more here.

Keywords: remote sensing; data description; support vector; center ... See more keywords

Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description

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recommendations! Published in 2018 at "International Journal of Analytical Chemistry"

DOI: 10.1155/2018/8032831

Abstract: Black rice is an important rice species in Southeast Asia. It is a common phenomenon to pass low-priced black rice off as high-priced ones for economic benefit, especially in some remote towns. There is increasing… read more here.

Keywords: rice; black rice; authenticity detection; data description ... See more keywords

Detection Anomaly in Video Based on Deep Support Vector Data Description

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/5362093

Abstract: Video surveillance systems have been widely deployed in public places such as shopping malls, hospitals, banks, and streets to improve the safety of public life and assets. In most cases, how to detect video abnormal… read more here.

Keywords: data description; support vector; vector data; deep support ... See more keywords

An effective multivariate control chart for detecting small mean shifts using support vector data description

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recommendations! Published in 2018 at "Advances in Mechanical Engineering"

DOI: 10.1177/1687814018810625

Abstract: Conventional multivariate cumulative sum control charts are more sensitive to small shifts than T 2 control charts, but they cannot get the knowledge of manufacturing process through the learning of in-control data due to the… read more here.

Keywords: support vector; control; vector data; data description ... See more keywords

Robust Support Vector Data Description with Truncated Loss Function for Outliers Depression

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recommendations! Published in 2024 at "Entropy"

DOI: 10.3390/e26080628

Abstract: Support vector data description (SVDD) is widely regarded as an effective technique for addressing anomaly detection problems. However, its performance can significantly deteriorate when the training data are affected by outliers or mislabeled observations. This… read more here.

Keywords: loss; truncated loss; support vector; data description ... See more keywords