一种基于组策略的过滤式特征选择算法

MRMR算法具有快速、高效等优势,在处理高维数据方面较为流行。基于此,提出一种基于组策略的MRMR改进算法（MRMRE）,该算法不仅考虑单个特征属性的相关性与冗余性,同时针对特征组间的相互关系进行研究。算法以MRMR算法为框架,以CCA作为度量基准,选择SVMs作为基分类器,使其特征选择效果提升。在UCI机器学习数据库中图像与基因序列数据集上的大量实验表明：与MRMR算法相比,所提出的算法其特征选择结果具有更高的结果稳定性与分类精度。     

基于稀疏PCA的多阶次分数阶傅里叶变换域特征人脸识别

文章提出基于稀疏PCA的多阶次分数阶傅里叶变换(fractional Fourier features,Frft)特征的人脸识别(Multiple Order discrete fractional Fourier Features ,MOFF). 鉴于分数阶傅里叶变换对光照、表情的鲁棒性, 并已在图像处理领域得到应用,首先,Frft幅度随阶次的变换呈现压缩性,而SPCA提取其主要信息将且分为主要信息域和次要信息域,融合二者的互补信息组成混合幅度特征,然后融合混合幅度特征、实部特征和虚部特征,最后融合不同阶次下Frft域特征。此外该文提出基于贪婪算法的分数阶阶次选择算法和基于Fisherfaces的权重方法。ORL 和AR人脸数据库上的仿真证明了本算法的有效性。     

基于灰色关联分析法的软件缺陷类型预测

灰色关联分析法是一种描述元素之间影响程度的分析法,适合于小项目数据集。小项目数据集制约着传统的软件缺陷类型的预测方法,使得预测的结果往往不够准确和可靠。因此在灰色关联分析法的基础上提出了特征子集选择、异常工程检测以及软件缺陷类型预测3种方法。通过实验的分析对比,验证了在灰色关联分析法的基础上,提出的软件缺陷类型预测方法的准确性和可靠性。     

A unifying criterion for unsupervised clustering and feature selection

Exploratory data analysis methods are essential for getting insight into data. Identifying the most important variables and detecting quasi-homogenous groups of data are problems of interest in this context. Solving such problems is a difficult task, mainly due to the unsupervised nature of the underlying learning process. Unsupervised feature selection and unsupervised clustering can be successfully approached as optimization problems by means of global optimization heuristics if an appropriate objective function is considered. This paper introduces an objective function capable of efficiently guiding the search for significant features and simultaneously for the respective optimal partitions. Experiments conducted on complex synthetic data suggest that the function we propose is unbiased with respect to both the number of clusters and the number of features.     

手写体汉字在特征空间的可视化分析

手写体汉字特征一般在几百维以上,在这样的高维空间中,汉字样本是如何分布的?本文从可视化的角度对这一问题进行了探讨。论文首先给出了所选用的汉字特征的定义,然后对一些具有代表性的汉字实例,从K-L变换法、线性投影法和非线性投影法三个方面,对汉字在特征空间的分布问题进行了可视化分析,结果表明,可视化分析可以帮助人们了解汉字在特征空间的分布情况,对改进识别器的性能具有指导意义。     

Analyzing the structure of a class of linear automata over a ring $$ Z_{p^k } $$

Basic finite-automaton characteristics are established for the class of all linear automata and information-lossless automata over a ring. The complexities of solving problems of parametric identification and initial-state identification are analyzed. The sets of fixed points for mappings realized by initial automata are characterized. Canonical forms are proposed for linear automata over the ring. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 60–74, May–June 2008.     

建筑空间形式美的探赜

维特鲁威认为建筑是由模式、布置、比例、均衡、适合和经营构成的。在这六个方面中,适合和经营关系到建筑的适用性、经营管理;而前四个方面关系到建筑的模式、结构和外观。他说:"当建筑物的外观优美悦人,细部的比例符合正确的均衡时,就会保持美观的原则。"在维特鲁威的观念中,比例就是建筑美的核心。     

An LMI approach to constrained optimization with homogeneous forms

This paper considers the problem of determining the minimum Euclidean distance of a point from a polynomial surface in . It is well known that this problem is in general non-convex. The main purpose of the paper is to investigate to what extent linear matrix inequality (LMI) techniques can be exploited for solving this problem. The first result of the paper shows that a lower bound to the global minimum can be achieved via the solution of a one-parameter family of linear matrix inequalities (LMIs). It is also pointed out that for some classes of problems the solution of a single LMI problem provides the lower bound. The second result concerns the tightness of the bound. It is shown that optimality of the lower bound amounts to solving a system of linear equations. An application example is finally presented to show the features of the approach.     

谈公共设施中的环境陶艺形态

探讨公共设施环境陶艺形态的类型、表现手法及特点,指出公共设施中的环境陶艺形态设计要强调实用与审美、环境相统一。