Results 21 to 30 of about 2,018,951 (327)
A Cross-dataset Image Classification Method Based on Information-keeping [PDF]
Jisuanji gongcheng, 2016 Cross-dataset image classification is a common problem in the real applications of image classification.Even though training data and testing data are related in the cross-domain classification,there are some differences between them.And this leads the ...
ZHU Guangtang,ZHOU Xiangdong
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Application of error level analysis in image spam classification using deep learning model.
PLoS ONE, 2023 Image spam is a type of spam that contains text information inserted in an image file. Traditional classification systems based on feature engineering require manual extraction of certain quantitative and qualitative image features for classification ...
Angom Buboo Singh +1 more
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Image Classification Algorithm with p-voltages Based on Mean Shift [PDF]
Jisuanji gongcheng, 2016 p-voltages algorithm is a semi-supervised classification algorithm,which is based on samples’ theoretical voltages in the electricity network system.It has some disadvantages in image classification,such as only two labeled samples (source node and sink ...
RUAN Yingying,WANG Xili,LIN Hongshuai
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Large Margin Image Set Representation and Classification [PDF]
, 2014 In this paper, we propose a novel image set representation and classification method by maximizing the margin of image sets. The margin of an image set is defined as the difference of the distance to its nearest image set from different classes and the ...
Alzahrani, Majed +2 more
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Automatic modulation classification using techniques from image classification
IET Communications, 2022 Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in software defined radio structures, especially in 5G and 6G technology.
Yilin Sun, Edward A Ball
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Label-Embedding for Image Classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 IEEE TPAMI ...
Akata, Zeynep +3 more
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The Influence of Image Degradation on Hyperspectral Image Classification
Remote Sensing, 2022 Recent advances in hyperspectral remote sensing techniques, especially in the hyperspectral image classification techniques, have provided efficient support for recognizing and analyzing ground objects.
Congyu Li +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields.
Gong Cheng +4 more
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Tensor-Based Algorithms for Image Classification [PDF]
, 2019 Interest in machine learning with tensor networks has been growing rapidly in recent years. We show that tensor-based methods developed for learning the governing equations of dynamical systems from data can, in the same way, be used for supervised ...
Gelß, Patrick, Klus, Stefan
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Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training
Advances in Multimedia, 2022 This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image ...
Shishun Ge, Chunhong Zhu
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