Results 31 to 40 of about 13,363,165 (248)
KLASIFIKASI CITRA DENGAN POHON KEPUTUSAN
Image classification can be done by using attribute of text that come along with the image, such as file name, size, or creator. Image classification also can be done base on visual content of the image.
Kusrini Kusrini +3 more
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CNN Based Image Classification of Malicious UAVs [PDF]
Unmanned Aerial Vehicles (UAVs) or drones have found a wide range of useful applications in society over the past few years, but there has also been a growth in the use of UAVs for malicious purposes. One way to manage this issue is to allow reporting of
Nawin Raj +6 more
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A Cross-dataset Image Classification Method Based on Information-keeping [PDF]
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.
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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The Influence of Image Degradation on Hyperspectral Image Classification
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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Automatic modulation classification using techniques from image classification
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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Multiresolution image parametrization for improving texture classification [PDF]
In the paper an innovative alternative to automatic image parametrization on multiple resolutions, based on texture description with specialized association rules, and image evalu- ation with machine learning methods is presented.
Kononenko, Igor, Šajn, Luka
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Evaluation of local orientation for texture classification [PDF]
The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the ...
Ilea, Dana E. +2 more
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Image Classification Algorithm with p-voltages Based on Mean Shift [PDF]
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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Robust Sound Event Classification using Deep Neural Networks [PDF]
The automatic recognition of sound events by computers is an important aspect of emerging applications such as automated surveillance, machine hearing and auditory scene understanding.
Song, Yan +4 more
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