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Article
SNORD45A Affects Content of HIF-1α and Promotes Endothelial Angiogenic Function
To find out the differentially expressed small nucleolar RNAs (snoRNAs) in corneal neovascularization and their effect on angiogenesis. The rat model of corneal neovascularization induced by alkali burn was es...
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Article
Active Learning for Saddle Point Calculation
The saddle point (SP) calculation is a grand challenge for computationally intensive energy function in computational chemistry area, where the saddle point may represent the transition state. The traditional ...
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Article
Inferring the unknown parameters in differential equation by Gaussian process regression with constraint
Differential equation (DE) is a commonly used modeling method in various scientific subjects such as finance and biology. The parameters in DE models often have interesting scientific interpretations, but thei...
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Article
Degradation learning for unsupervised hyperspectral image super-resolution based on generative adversarial network
High-resolution is essential to achieve remarkable performance in many applications using hyperspectral images. However, the acquired hyperspectral images are often low-resolution due to the limitations of sen...
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Chapter and Conference Paper
A Fusion Method with Image Preprocessing and Improved YOLOv3 for SAR Image Ship Target Detection
Based on the application of synthetic aperture radar (SAR), a fusion method with image preprocessing and improved YOLOv3 for SAR image ship target detection is proposed. For the coherent speckle noise of SAR i...
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Article
Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision
Monocular depth estimation by unsupervised learning is a potential strategy, which is mainly self-supervised by calculating view reconstruction loss from stereo pairs or monocular sequences. However, most exis...
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Chapter and Conference Paper
Research on Influence of Image Preprocessing on Handwritten Number Recognition Accuracy
In the process of handwritten number recognition, image pretreatment is a key step that has a great influence on the recognition accuracy. By unifying the standard, handwritten digital images are normalized, w...
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Article
Soft-clustering-based local multiple kernel learning algorithm for classification
Local multiple kernel learning is a promising strategy because it could learn a sample-specific composite kernel according to the characteristic of samples. However, these methods are insufficient to describe ...
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Article
An adaptive PNN-DS approach to classification using multi-sensor information fusion
In this paper, an adaptive neural network approach to classification which combines modified probabilistic neural network and D-S evidence theory (PNN-DS) is proposed. It attempts to deal with the drawbacks of...
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Chapter and Conference Paper
SAR Image Fast Online ATR Based on Visual Attention and Scale Analysis
Aiming at the online automatic target recognition for SAR images, a visual attention based scale analysis method is introduced for the feature extraction and the classifiers construction. By improving the feat...
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Chapter and Conference Paper
Visual-Cognition-Driven SAR Multiple Targets Robust Feature Extraction, Recognition and Tracking
Aiming at the multiple targets recognition and tracking in SAR images, a robust feature extraction method and a combined recognition and tracking method for multi-class slow-moving targets based on visual cog...
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Chapter and Conference Paper
Multivariate Time Series Prediction Based on Multi-Output Support Vector Regression
An improved support vector regression (SVR) model is presented in this paper and the model can train and predict both the multiple input and output samples, which can avoid SVR’s modeling for each output indiv...
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Chapter and Conference Paper
Classification Probability Estimation Based Multi-Class Image Retrieval
Aiming at multi-class large-scale image retrieval problem, a new image retrieval method based on classification probability estimation is proposed according to the thinking named “Classification First, Retriev...
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Article
Selective Laser Melting Additive Manufacturing of Ti-Based Nanocomposites: The Role of Nanopowder
The additive manufacturing of bulk-form TiC/Ti nanocomposite parts was performed using Selective Laser Melting (SLM). Two categories of nanopowder, i.e., ball-milled TiC/Ti nanocomposite powder and directly mecha...
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Article
A multiple-kernel LSSVR method for separable nonlinear system identification
In some nonlinear dynamic systems, the state variables function usually can be separated from the control variables function, which brings much trouble to the identification of such systems. To well solve this...
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Article
Online chaotic time series prediction using unbiased composite kernel machine via Cholesky factorization
The kernel method has proved to be an effective machine learning tool in many fields. Support vector machines with various kernel functions may have different performances, as the kernels belong to two differe...
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Article
An adaptive PNN-DS approach to classification using multi-sensor information fusion
In this paper, an adaptive neural network approach to classification which combines modified probabilistic neural network and D-S evidence theory (PNN-DS) is proposed. It attempts to deal with the drawbacks of...
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Chapter and Conference Paper
A Sparse Sampling Method for Classification Based on Likelihood Factor
The disadvantages of large computing and complex discriminant function involved in classical SVM emerged when the scale of training data was larger. In this paper, a method for classification based on sparse s...
