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- research-articleJuly 2024
A hybrid approach for Android malware detection using improved multi-scale convolutional neural networks and residual networks
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PBhttps://doi.org/10.1016/j.eswa.2024.123675AbstractThe open-source nature of Android, along with its coarse-grained permission management and widespread use, has heightened its vulnerability to malware threats. However, many traditional approaches face limitations in extracting comprehensive ...
Highlights- Propose an improved MSCNN model extracting features from various data levels.
- Design hybrid models combining MSCNN with GRU, ResNet18, ResNet34 and ResNet50.
- MSCNN acts as upper feature extraction layer.
- GRU, ResNet18, ResNet34 ...
- research-articleJuly 2024
Meta graph network recommendation based on multi-behavior encoding
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 36, Issue 5https://doi.org/10.1016/j.jksuci.2024.102050AbstractAs traditional recommendation systems ignore the hidden information among different user behaviors (such as clicks, add-to-favorites, add-to-cart, and purchases), this often leads to low accuracy in recommendation results. We propose a meta-graph ...
- research-articleJuly 2024
Semi-supervised community detection method based on generative adversarial networks
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 36, Issue 3https://doi.org/10.1016/j.jksuci.2024.102008AbstractCommunity detection in complex networks often suffers from insufficient data and limited utilization of prior knowledge. In this paper we propose “Semi-supervised Generative Adversarial Network” (GANSE), a novel algorithm that integrates ...
- research-articleApril 2024
TU2Net-GAN: A temporal precipitation nowcasting model with multiple decoding modules
Pattern Recognition Letters (PTRL), Volume 178, Issue CPages 98–105https://doi.org/10.1016/j.patrec.2023.12.025AbstractWith the Earth’s temperature rising and abnormal weather events becoming frequent, the mechanisms of precipitation formation have become increasingly complex, leading to more significant spatiotemporal variability. This increased variability ...
Highlights- TU2Net-GAN model is proposed for rainfall forecasting.
- We improved the loss function of GAN and achieved more robust performance.
- Using four-frame images as input for GAN yielded optimal results.
- The proposed model demonstrated ...
- research-articleFebruary 2022
Gabor Log-Euclidean Gaussian and its fusion with deep network based on self-attention for face recognition
AbstractIn this work, we proposed a face feature extraction method by Learning Gabor Log-Euclidean Gaussian with Whitening Principal Component Analysis (called LGLG-WPCA). The proposed method extracts raw features from the multivariate Gaussian in the ...
Highlights- We implemented an effective method, called LGLG-WPCA, for face recognition.
- LGLG-WPCA can effectively extract the detail information of face image.
- LGLG can combine DCNN to improve the performance of face recognition.
- A self-...
- research-articleDecember 2021
A neural decoding algorithm that generates language from visual activity evoked by natural images
- Wei Huang,
- Hongmei Yan,
- Kaiwen Cheng,
- Chong Wang,
- Jiyi Li,
- Yuting Wang,
- Chen Li,
- Chaorong Li,
- Yunhan Li,
- Zhentao Zuo,
- Huafu Chen
AbstractTransforming neural activities into language is revolutionary for human–computer interaction as well as functional restoration of aphasia. Present rapid development of artificial intelligence makes it feasible to decode the neural ...
- research-articleJanuary 2022
Blind Image Restoration with Defocus Blur by Estimating Point Spread Function in Frequency Domain
ICAIP '21: Proceedings of the 5th International Conference on Advances in Image ProcessingPages 62–67https://doi.org/10.1145/3502827.3502842A blind image restoration method is proposed to enhance the quality of defocus blurred image. Firstly, The defocused blurred image is converted to the frequency domain in order to analyze its spectral characteristics. Secondly, the defocus radius of the ...
- research-articleNovember 2021
Learning features from covariance matrix of gabor wavelet for face recognition under adverse conditions
Highlights- We proposed LCMoG-CNN for face recognition under adverse conditions.
- LCMoG-CNN ...
Face recognition under adverse conditions, such as low-resolution, difficult illumination, blur and noise remains a challenging task. Among existing face recognition methods, Gabor wavelet plays a significant role and has robust ...
- research-articleDecember 2019
Dependence structure of Gabor wavelets based on copula for face recognition
Expert Systems with Applications: An International Journal (EXWA), Volume 137, Issue CPages 453–470https://doi.org/10.1016/j.eswa.2019.05.034Highlights- Face recognition methods are proposed on the dependence structure of Gabor wavelets.
Low resolution, difficult illumination and noise are the important factors that affect the performance of face recognition system. In order to counteract these adverse factors, in this paper we propose copula probability models based ...
- research-articleAugust 2019
Marginal distribution covariance model in the multiple wavelet domain for texture representation
Pattern Recognition (PATT), Volume 92, Issue CPages 246–257https://doi.org/10.1016/j.patcog.2019.04.003Highlights- We proposed MDCM in CDF spaceto model the wavelet coefficients.
- We combine ...
Filters are the commonly used techniques for texture feature extraction. In this paper, we present a texture feature extraction method based on multiple wavelet filters. For modeling the multiple wavelet coefficients, we develop ...
- research-articleSeptember 2017
Deep Decomposition of Circularly Symmetric Gabor Wavelet for rotation-invariant texture image classification
2017 IEEE International Conference on Image Processing (ICIP)Pages 2702–2706https://doi.org/10.1109/ICIP.2017.8296773We propose Deep Decomposition of Circularly Symmetric Gabor Wavelet (DD-CSGW) for rotation-invariant texture image classification. Circularly Symmetric Gabor Wavelet (CSGW) is rotation-invariant tool for image analysis. However, CSGW has an obvious ...
- research-articleApril 2017
Color texture image retrieval based on Gaussian copula models of Gabor wavelets
Pattern Recognition (PATT), Volume 64, Issue CPages 118–129https://doi.org/10.1016/j.patcog.2016.10.030Color texture retrieval is a hot research area in image analysis. In this paper, we propose an efficient color texture retrieval method by using copula model based on Gabor wavelets. When Gabor wavelets are used to decompose color image, three types of ...
- research-articleJanuary 2017
A Privacy Model for RFID Tag Ownership Transfer
The ownership of RFID tag is often transferred from one owner to another in its life cycle. To address the privacy problem caused by tag ownership transfer, we propose a tag privacy model which captures the adversary’s abilities to get secret ...
- research-articleAugust 2015
Rotation Invariant Texture Retrieval Considering the Scale Dependence of Gabor Wavelet
IEEE Transactions on Image Processing (TIP), Volume 24, Issue 8Pages 2344–2354https://doi.org/10.1109/TIP.2015.2422575Obtaining robust and efficient rotation-invariant texture features in content-based image retrieval field is a challenging work. We propose three efficient rotation-invariant methods for texture image retrieval using copula model based in the domains of ...
- research-articleJanuary 2014
Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions
Pattern Recognition (PATT), Volume 47, Issue 1Pages 313–325https://doi.org/10.1016/j.patcog.2013.05.003Rapid-transform based descriptor is proposed for texture classification against rotation variations, illumination variations, as well as noise effect. The proposed descriptor is based on the local circular neighborhood and the local feature vector is ...
- ArticleJuly 2012
Fingerprint Verification Using Zernike Moments
MACE '12: Proceedings of the 2012 Third International Conference on Mechanic Automation and Control EngineeringPages 3501–3503A texture based method for fingerprint verification is proposed based on Zernike moments. Zernike moments features are calculated from the region of interest (ROI) which consists of several concentric discs. The proposed method is rotation and scale ...
- ArticleApril 2012
Scheme of Web Resources Protection Using Hash Signature and Digital Watermarking
ICEICE '12: Proceedings of the 2012 Second International Conference on Electric Information and Control Engineering - Volume 01Pages 1252–1255Web resources protection is one of the important network problems nowadays. Many schemes have been proposed and relevant protection systems are available. Our study found that these traditional schemes almost always use hash signature algorithm to ...
- ArticleMarch 2012
A Novel Features Extracting Technique Useing Location in Face Recognition
ICCSEE '12: Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering - Volume 01Pages 585–588https://doi.org/10.1109/ICCSEE.2012.118In PCA for the face recognition technique, computing the eigenvalues of the image matrix is the first step. Then these eigenvalues are sorted in descending order. A certain number of vectors, which correspond with these eigenvalues, are chosen by ...