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Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-020-05311-x
Abstract: The k -nearest neighbor (KNN) rule is a simple and effective nonparametric classification algorithm in pattern classification. However, it suffers from several problems such as sensitivity to outliers and inaccurate classification decision rule. Thus, a…
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Keywords:
classification;
classifier;
nearest neighbor;
local mean ... See more keywords
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Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00835-x
Abstract: This paper presents a reliable and real-time method to detect pedestrians in image scenes that can vary greatly in appearance. To achieve greater reliability in what can be detected, a combination of visual cues is…
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Keywords:
census transform;
detection;
classifier;
contour cues ... See more keywords
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Published in 2019 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-019-01368-9
Abstract: Users need to understand the predictions of a classifier, especially when decisions based on the predictions can have severe consequences. The explanation of a prediction reveals the reason why a classifier makes a certain prediction,…
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Keywords:
test instance;
explanation;
classifier;
instance ... See more keywords
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Published in 2017 at "Machine Learning"
DOI: 10.1007/s10994-017-5671-3
Abstract: We present a simple and yet effective approach for document classification to incorporate rationales elicited from annotators into the training of any off-the-shelf classifier. We empirically show on several document classification datasets that our classifier-agnostic…
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Keywords:
classification;
rationales document;
classifier;
document classification ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08425-z
Abstract: Protecting image manipulation detectors against perfect knowledge attacks requires the adoption of detector architectures which are intrinsically difficult to attack. In this paper, we do so, by exploiting a recently proposed multiple-classifier architecture combining the…
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Keywords:
image;
classification;
classifier;
class ... See more keywords
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Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9614-6
Abstract: This article approaches scene classification problem by proposing an enhanced bag of features (BoF) model and a modified radial basis function neural network (RBFNN) classifier. The proposed BoF model integrates the image features extracted by…
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Keywords:
scene classification;
classification;
classifier;
multi resolution ... See more keywords
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2
Published in 2022 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-021-01189-6
Abstract: The Video Coding Joint Collaboration team (JCT-VC) has been working on an emerging standard for screen content coding (SCC) as an extension of high efficiency video coding (HEVC) standard known as HEVC-SCC. The two powerful…
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Keywords:
screen content;
content coding;
classifier;
hevc ... See more keywords
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Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0623-y
Abstract: Biomedical images are often complex, and contain several regions that are annotated using arrows. Annotated arrow detection is a critical precursor to region-of-interest (ROI) labeling, which is useful in content-based image retrieval (CBIR). In this…
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Keywords:
detection;
sequential classifier;
classifier;
biomedical images ... See more keywords
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Published in 2021 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-021-01108-8
Abstract: In a motor imagery-based brain–computer interface system, an effective classifier is required. However, the effectiveness of classifier is substantially influenced by the individual differences among electroencephalography (EEG) signals and artifacts. Therefore, in this study, we…
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Keywords:
ensemble method;
motor imagery;
classifier;
method ... See more keywords
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1
Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2021.104314
Abstract: Abstract The number of applications of hyperspectral imaging (HSI) is steadily increasing, as technology evolves and cameras become more affordable. However, the volume of data in a hyperspectral image is large (order of Gigabytes) and…
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Keywords:
hyperspectral image;
methodology;
classifier;
approach ... See more keywords
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Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.03.002
Abstract: In this paper, we present a unique modulation classification method that is based on determining an attractive relation between higher-order cumulants (HOCs) using a decision tree-classifier to improve the extracted features employed for the recognition…
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Keywords:
recognition;
modulation;
classifier;
psk qam ... See more keywords