Xiaoping Shen

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In this paper, we construct infinite-band filterbanks for perfect reconstruction (PR) using Hermite polynomials and Hermite functions. The analysis filters are linear combinations of derivative operators based on these polynomials-the so-called chromatic derivative filters. Together with the synthesis filterbanks, they give PR for a large class of signals(More)
Feature selection is an active research area in machine learning for high dimensional dataset analysis. The idea is to perform the learning process solely on the top ranked feature spaces instead of the entire original feature space, and therefore to improve the understanding of the inherent characteristics of such dataset as well as reduce the(More)
OBJECTIVE Subjects with diabetes mellitus are at high risk for developing atherosclerosis through a variety of mechanisms. Because the metabolism of glucose results in production of activators of protein kinase C (PKC)β, it was logical to investigate the role of PKCβ in modulation of atherosclerosis in diabetes mellitus. APPROACH AND RESULTS ApoE(-/-) and(More)
This paper presents a new nonparametric method to simulate probability density functions of some random variables raised in characterizing an anomaly based intrusion detection system (ABIDS). A group of kernel density estimators is constructed and the criterions for bandwidth selection are discussed. In addition, statistical parameters of these(More)
This paper presents the research of using bootstrap methods for time-series prediction. Unlike the traditional single model (neural network, support vector machine, or any other types of learning algorithms) based time-series prediction, we propose to use bootstrap methods to construct multiple learning models, and then use a combination function to combine(More)
Diabetes exacerbates cardiovascular disease, at least in part through suppression of macrophage cholesterol efflux and levels of the cholesterol transporters ATP binding cassette transporter A1 (ABCA1) and ABCG1. The receptor for advanced glycation end products (RAGE) is highly expressed in human and murine diabetic atherosclerotic plaques, particularly in(More)
This paper proposes a novel feature ranking method, DensityRank, based on kernel estimation on the feature spaces to improve the classification performance. As the availability of raw data in many of today's applications continues to grow at an explosive rate, it is critical to assess the learning capabilities of different features and select the important(More)
In the title complex, [Co(C2N3)2(C12H12N6)2] n the Co(II) atom lies on a centre of symmetry and displays a slightly distorted octa-hedral coordination geometry. The 1,2-bis-[(1,2,4-triazol-1-yl)meth-yl]benzene ligands link adjacent metal atoms into polymeric chains parallel to the c axis, forming centrosymmetric 26-membered metallamacrocycles. The(More)