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Article
Identification of apple leaf diseases using C-Grabcut algorithm and improved transfer learning base on low shot learning
Plant disease control is an indispensable research topic in the field of agriculture. Different apple leaf diseases may have similar manifestations, and it is time-consuming and laborious to rely on manual mea...
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Article
Pruning rate-controlled filter order–information structure similarity graph clustering for DCNN structure optimization methods
Filter pruning is a compression and acceleration method for deep convolutional neural network models that operates at a large scale. Many researchers have studied this approach and made significant progress, b...
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Article
A novel video-based pedestrian re-identification method of sequence feature distribution similarity measurement combined with deep learning
In this paper, we propose a novel video-sequence-based pedestrian re-identification method using the feature distribution similarity measurement between pedestrian video sequences (PRI-FDSM). We use the multip...
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Article
Sea-sky line detection in the infrared image based on the vertical grayscale distribution feature
When detecting sea-sky line (SSL) in the infrared image, the blurry SSL, conspicuous sea clutter affects the accurate detection of SSL seriously. To solve these problems, we proposed a robust SSL detection alg...
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Chapter and Conference Paper
Weighted Consistent Multi-view Discriminant Analysis in Unreliable Labeling Environment
Multi-view discriminant analysis method (MvDA) is an effective supervised multi-view learning method. However, in practical multi-view learning application scenarios, there may be the problem that the sample l...
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Chapter and Conference Paper
Coupled Non-negative Matrix Factorization with Deep Part-Based Feature Learning for Low-Resolution Image Recognition
The existing low-resolution (LR) image recognition methods based on coupled relationship learning of high- and low-resolution images usually take similar feature extraction steps for both high- and low-resolut...
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Chapter and Conference Paper
Non-negative Matrix Factorization Method Based on Mixed Gaussian Kernels
Non-negative Matrix Factorization (NMF) is a data dimensionality reduction method, which can process large scale and high dimensional data more efficiently. Among them, kernel-based non-negative matrix factori...
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Chapter and Conference Paper
Regularized Loose Coupled Deep Non-negative Basis Matrix Factorization for Low-Resolution Face Image Recognition
Low-resolution face image recognition is a research focus in computer vision and pattern recognition. In this paper, the potential relationship between matched high-resolution face and low-resolution face imag...
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Chapter and Conference Paper
Low Resolution Face Image Recognition Based on Consistent Discriminant Correlation Analysis with Weight Correction
Consistent Discriminant Correlation Analysis (CDCA) is an effective algorithm for dual-view learning. However, the importance of information from different samples and features may vary. In CDCA, the sample fe...
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Article
Progressive kernel pruning CNN compression method with an adjustable input channel
Deep neural network pruning is an effective model compression and acceleration method. In the initial pruning stage, maintaining the integrity of the input channel of the convolution layer is very important to...
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Chapter and Conference Paper
Self-supervised Adaptive Kernel Nonnegative Matrix Factorization
The kernel function to imply nonlinear map** is crucial for kernel nonnegative matrix factorizations (KNMF), which determines whether the model can properly represent the data. However, the analysis and adap...
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Article
A constrained optimization method for blocking artifact compensation in JPEG infrared image
Aiming to improve the quality of JPEG decompressed infrared images, this paper presents a constrained optimization method for blocking artifact compensation. First, we define the drop value between image block...
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Article
Open AccessAn incremental learning algorithm for the hybrid RBF-BP network classifier
This paper presents an incremental learning algorithm for the hybrid RBF-BP (ILRBF-BP) network classifier. A potential function is introduced to the training sample space in space map** stage, and an increme...
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Article
Open AccessInverse consistent non-rigid image registration based on robust point set matching
Robust point matching (RPM) has been extensively used in non-rigid registration of images to robustly register two sets of image points. However, except for the location at control points, RPM cannot estimate ...
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Article
THz-TDS signal analysis and substance identification via the conformal split
A terahertz time-domain spectroscopy (THz-TDS) imaging system can obtain high-dimensional signals with substance fingerprint information. By introducing geometric algebra, a novel signal analysis approach to T...
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Article
A robust optical flow computation
This paper presents a new method for robust and accurate optical flow estimation. The significance of this work is twofold. Firstly, the idea of bi-directional scheme is adopted to reduce the model error of op...
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Chapter and Conference Paper
Rotation Registration of Medical Images Based on Image Symmetry
Mutual Information has been used as a similarity metric in medical images registration. But local extrema impede the registration optimization process and rule out the registration accuracy, especially for rot...
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Article
A new initialization method of cluster centers
The problem of parameters selection for potential function used to initialize cluster centers is discussed, and two formulas are given for determining these parameters. Then a new potential function to initial...
