4 Result(s)
within
Conference Paper
Jihua Ye
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Chapter and Conference Paper
Multi-sensor Data Fusion Based on Weighted Credibility Interval
The Dempster-Shafter combination rule often get wrong results when dealing with severely conflicting information. The existing typical improvement methods are mostly based on the similarity of attributes such ...
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Chapter and Conference Paper
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers. In this paper, we focus on modeling the correlations bet...
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Chapter and Conference Paper
Vision Saliency Feature Extraction Based on Multi-scale Tensor Region Covariance
In the process of extracting image saliency features by using regional covariance, the low-level higher-order data are dealt with by vectorization, however, the structure of the data (color, intensity, direct...
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Chapter and Conference Paper
Estimating the Total Variability Space Using Sparse Probabilistic Principal Component Analysis
In this paper, we introduce a new method to estimate the total variability space using sparse probabilistic Principal Component Analysis (PCA) with the Baum-Welch statistics for speaker verification. In conven...
