This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine
multiple data sources for clustering analysis. The algorithm uses an alternating minimization …

Classification of images in many category datasbets has rapidly improved in recent years.
However, systems that perform well on particular datasets typically have one or more …

为了实现电子鼻对草莓贮藏期常见霉菌感染的早期检测, 对草莓果实分别接种灰霉,
扩展青霉和根霉3 种主要病原菌, 以无菌水处理为对照组, 每2d 采用PEN3 …

Manifold learning algorithms mainly focus on discovering the intrinsic low-dimensional
manifold embedded in the high-dimensional Euclidean space. Among them, locally linear …

完备鉴别保局投影人脸识别算法 Page 1 ISSN 1000-9825, CODEN RUXUEW E-mail: jos@iscas.ac.cn
Journal of Software, Vol.21, No.6, June 2010, pp.1277−1286 http://www.jos.org.cn doi …

In this paper, we propose a null space discriminant locality preserving projections (NDLPP)
method for facial feature extraction and recognition. Based on locality preserving projections …

This paper investigates advanced channel compensation techniques for the purpose of
improving i-vector speaker verification performance in the presence of high intersession …

High-dimensional data and the small sample size problem occur in many modern pattern
classification applications such as face recognition and gene expression data analysis. To …

It is a great challenge to acquire novel Bi2WO6/MIL-53 (Al)(BWO/MIL) nanocomposites with
excellent catalytic activity by the trial-and-error method in the vast untapped synthetic space …

Linear discriminant analysis has been incorporated with various representations and
measurements for dimension reduction and feature extraction. In this paper, we propose two …