Results 31 to 40 of about 1,984,141 (275)
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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Image classification: No features, no clustering [PDF]
2015 IEEE International Conference on Image Processing (ICIP), 2015 In this paper, we consider the problem of satellite image classification, in which feature extraction is a critical step. One of the most prevalent methods is the Bag-of-Words (BoW) feature representation, which attains state-of-the-art performance in many applications. It has five steps: feature detection, local feature extraction, dictionary learning,
Cui, Shiyong +2 more
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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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Classification of user image descriptions [PDF]
International Journal of Human-Computer Studies, 2004 In order to resolve the mismatch between user needs and current image retrieval techniques, we conducted a study to get more information about what users look for in images. First, we developed a framework for the classification of image descriptions by users, based on various classification methods from the literature.
Laura Hollink +3 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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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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Classification images with uncertainty
Journal of Vision, 2006 Classification image and other similar noise-driven linear methods have found increasingly wider applications in revealing psychophysical receptive field structures or perceptual templates. These techniques are relatively easy to deploy, and the results are simple to interpret.
Bosco S, Tjan, Anirvan S, Nandy
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Application of Digital Image Segmentation of Plantation Fruit Classification in Samarinda Agricultural Polytechnic [PDF]
, 2020 Applications of Digital Image Segmentation of Plantation Fruit Classification in Samarinda State Agricultural Polytechnic Based on Form The development of computer technology at this time has brought significant progress in various aspects of human life.
Maria, E. (Eny) +2 more
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Gaze Embeddings for Zero-Shot Image Classification [PDF]
, 2017 Zero-shot image classification using auxiliary information, such as attributes describing discriminative object properties, requires time-consuming annotation by domain experts.
Akata, Zeynep +3 more
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, 2020 This paper presents an automated classification method of infective and non-infective diseases from anterior eye images. Treatments for cases of infective and non-infective diseases are different. Distinguishing them from anterior eye images is important
Fukuoka, Hideki +4 more
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