![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
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 ...
-
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...
-
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...