In this paper, we propose a new way of remembering by introducing a memo...
In this paper, we study the classification problem by estimating the
con...
Classifying the training data correctly without over-fitting is one of t...
Recent advance on linear support vector machine with the 0-1 soft margin...
In semi-supervised fuzzy clustering, this paper extends the traditional
...
Recently proposed L2-norm linear discriminant analysis criterion via the...
Classical linear discriminant analysis (LDA) is based on squared Frobeni...
Classical principal component analysis (PCA) may suffer from the sensiti...
Cross-manifold clustering is a hard topic and many traditional clusterin...
Considering the classification problem, we summarize the nonparallel sup...
In this paper, we propose a general model for plane-based clustering. Th...
Traditional plane-based clustering methods measure the cost of within-cl...
In this paper, we propose a novel linear discriminant analysis criterion...
Recent advances show that two-dimensional linear discriminant analysis
(...