Robust rank correlation based screening

Robust Location Based Partial Correlation Robust Location Based Partial Correlation

The visual correspondence problem is a major issue in computer vision. Correlation is a common tool for this problem. Most classical correlation methods fail near the disparity discontinuities, which occur at the boundaries of objects. In this paper, a partial correlation technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Compariso...

Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniques

This work presents cost-effective low-rank techniques for designing robust adaptive beamforming (RAB) algorithms. The proposed algorithms are based on the exploitation of the cross-correlation between the array observation data and the output of the beamformer. Firstly, we construct a general linear equation considered in large dimensions whose solution yields the steering vector mismatch. Then...

Asynergistic Regression Based on Maximized Rank Correlation

The property of synergy and its detection are discussed. A response surface is said to possess synergy if it is monotone in each argument and its level curves are convex. Detecting this property is particularly useful in the study of combination drug therapies where the goal is enhanced response or diminished side effect. One way to detect synergy is to fit a surface with linear level curves un...

Robust Location Based Partial Correlation

The visual correspondence problem is a major issue in computer vision. Correlation is a common tool for this problem. Most classical correlation methods fail near the disparity discontinuities, which occur at the boundaries of objects. In this paper, a partial correlation technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Compariso...

Spearman Rank Correlation Coefficient