6 papers
Separable symmetric tensors and separable anti-symmetric tensors
Changqing Xu
In this paper, we first introduce the invertibility of even-order tensors and the separable tensors, including separable symmetry tensors and separable anti-symmetry tensors, defin…
Exploiting a Supervised Index for High-accuracy Parameter Estimation in Low SNR
Kaijie Xu
Performance of parameter estimation is one of the most important issues in array signal processing. The root mean square error, probability of success, resolution probabilities, an…
How to Determine an Optimal Noise Subspace?
Kaijie Xu
The Multiple Signal Classification (MUSIC) algorithm based on the orthogonality between the signal subspace and noise subspace is one of the most frequently used method in the esti…
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
Kaijie Xu, Witold Pedrycz, Zhiwu Li +2
Traditional clustering methods are limited when dealing with huge and heterogeneous groups of gene expression data, which motivates the development of bi-clustering methods. Bi-clu…
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
Kaijie Xu, Witold Pedrycz, Zhiwu Li
Information granules have been considered to be the fundamental constructs of Granular Computing (GrC). As a useful unsupervised learning technique, Fuzzy C-Means (FCM) is one of t…
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
Kaijie Xu, Witold Pedrycz, Zhiwu Li +1
As an important technology in artificial intelligence Granular Computing (GrC) has emerged as a new multi-disciplinary paradigm and received much attention in recent years. Informa…