Search Results - "Feilong Cao"

Automatic detection and classification of leukocytes using convolutional neural networks by Zhao, Jianwei, Zhang, Minshu, Zhou, Zhenghua, Chu, Jianjun, Cao, Feilong

“…The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease…”
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Deep neural network compression through interpretability-based filter pruning by Yao, Kaixuan, Cao, Feilong, Leung, Yee, Liang, Jiye

“…•Filters are visualized by the activation maximization to explain functions of filters.•DNNs are compressed based on the visualization results.•The redundant…”
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A study on effectiveness of extreme learning machine by Wang, Yuguang, Cao, Feilong, Yuan, Yubo

“…Extreme learning machine (ELM), proposed by Huang et al., has been shown a promising learning algorithm for single-hidden layer feedforward neural networks…”
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A novel multi-discriminator deep network for image segmentation by Wang, Yi, Ye, Hailiang, Cao, Feilong

“…Several studies have shown the excellent performance of deep learning in image segmentation. Usually, this benefits from a large amount of annotated data…”
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A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning by Li, Sihui, Li, Duo, Zhang, Rui, Cao, Feilong

“…Autism spectrum disorder (ASD) is a prevalent neurodevelopmental condition. Its early and accurate diagnosis is critical in enhancing the quality of life for…”
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Convolutional neural networks with hybrid weights for 3D point cloud classification by Hu, Meng, Ye, Hailiang, Cao, Feilong

“…The classification of 3D point clouds is a regular task, but remains a highly challenging problem because 3D point clouds usually contain a large amount of…”
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A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images by Ye, Hailiang, Li, Hong, Yang, Bing, Cao, Feilong, Tang, Yuanyan

“…Mixture noise removal is a fundamental problem in hyperspectral images' (HSIs) processing that holds significant practical importance for subsequent…”
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Image Interpolation via Low-Rank Matrix Completion and Recovery by Feilong Cao, Miaomiao Cai, Yuanpeng Tan

“…Methods of achieving image super-resolution (SR) have been the object of research for some time. These approaches suggest that when a low-resolution (LR) image…”
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A Hybrid Truncated Norm Regularization Method for Matrix Completion by Ye, Hailiang, Li, Hong, Cao, Feilong, Zhang, Liming

“…Matrix completion has been widely used in image processing, in which the popular approach is to formulate this issue as a general low-rank matrix approximation…”
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Segmentation of White Blood Cells Image Using Adaptive Location and Iteration by Liu, Yuehua, Cao, Feilong, Zhao, Jianwei, Chu, Jianjun

“…Segmentation of white blood cells (WBCs) image is meaningful but challenging due to the complex internal characteristics of the cells and external factors,…”
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A novel 3D shape classification algorithm: point-to-vector capsule network by Ye, Hailiang, Du, Zijin, Cao, Feilong

“…3D shape classification is a basic but challenging task for point clouds analysis. How to learn the discriminative shape descriptors from point clouds is…”
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Sparse algorithms of Random Weight Networks and applications by Cao, Feilong, Tan, Yuanpeng, Cai, Miaomiao

“…•Gives sparse algorithms of random weights networks.•The algorithms have effective performance compared with some traditional algorithms.•The algorithms are…”
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An automatic 2D to 3D video conversion approach based on RGB-D images by Pan, Baiyu, Zhang, Liming, Yin, Hanxiong, Lan, Jun, Cao, Feilong

“…3D movies/videos have become increasingly popular in the market; however, they are usually produced by professionals. This paper presents a new technique for…”
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Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements by Wu, Jiao, Cao, Feilong, Yin, Juncheng

“…A novel multi-morphological representation model for solving the nonlocal similarity-based image reconstruction from compressed measurements is introduced in…”
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Extended feed forward neural networks with random weights for face recognition by Lu, Jing, Zhao, Jianwei, Cao, Feilong

“…Face recognition is always a hot topic in the field of pattern recognition and computer vision. Generally, images or features are often converted into vectors…”
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Image classification based on effective extreme learning machine by Cao, Feilong, Liu, Bo, Sun Park, Dong

“…In this work, a new image classification method is proposed based on extreme k-means (EKM) and effective extreme learning machine (EELM). The proposed method…”
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Image super‐resolution via adaptive sparse representation and self‐learning by Jianwei Zhao, Tiantian Sun, Feilong Cao

“…This study proposes a novel super‐resolution regularisation model based on adaptive sparse representation and self‐learning frameworks. The fidelity term in…”
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Analysis of convergence performance of neural networks ranking algorithm by Zhang, Yongquan, Cao, Feilong

“…The ranking problem is to learn a real-valued function which gives rise to a ranking over an instance space, which has gained much attention in machine…”
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Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints by Ying, Hanchi, Leung, Yee, Cao, Feilong, Fung, Tung, Xue, Jie

“…Remote sensing is an important means to monitor the dynamics of the earth surface. It is still challenging for single-sensor systems to provide spatially high…”
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Spherical Scattered Data Quasi-interpolation by Gaussian Radial Basis Function by Chen, Zhixiang, Cao, Feilong

“…Since the spherical Gaussian radial function is strictly positive definite, the authors use the linear combinations of translations of the Gaussian kernel to…”
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