图形识别的有限自动机方法

针对工程图中具有某种特殊意义的图形符号(如粗糙度、标高符号等),研究了确定性有限自动机识别矢量图形的方法.从DFA出发,构造待识别图形符号的状态集合以及状态间的转换关系,然后通过搜索图形元素集合以及一定的条件进行状态转换,根据其最终所处状态判断识别结果.     

说话人识别中LPCCEP倒谱分量的相对重要性

文中研究表明,反映说话人特征信息的特征参数矢量的各个分量通常具有不同的分布,对正确识别说话人身份的有效性是有差别的。文中通过增减分量的方法对LPCCEP的各维分量进行分析,得到一个关于LPCCEP参数各维分量的平均贡献序列,将此序列运用于WDMVQ有助于系统识别率的提高。     

Auditory-visual cross-modal perception of communicative stimuli in Tufted Capuchin Monkeys (Cebus apella).

Research on cross-modal performance in nonhuman primates is limited to a small number of sensory modalities and testing methods. To broaden the scope of this research, the authors tested capuchin monkeys (Cebus apella) for a seldom-studied cross-modal capacity in nonhuman primates, auditory-visual recognition. Monkeys were simultaneously played 2 video recordings of a face producing different vocalizations and a sound recording of 1 of the vocalizations. Stimulus sets varied from naturally occurring conspecific vocalizations to experimentally controlled human speech stimuli. The authors found that monkeys preferred to view face recordings that matched presented vocal stimuli. Their preference did not differ significantly across stimulus species or other stimulus features. However, the reliability of the latter set of results may have been limited by sample size. From these results, the authors concluded that capuchin monkeys exhibit auditory-visual cross-modal perception of conspecific vocalizations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Theoretical Correlations and Measured Correlations: Relating Recognition and Recall in Four Distributed Memory Models.

This article addresses the relation between item recognition and associative (cued) recall. Going beyond measures of performance on each task, the analysis focuses on the degree to which the contingency between successful recognition and successful recall of a studied item reflects the commonality of memory processes underlying the recognition and recall tasks. Specifically, 4 classes of distributed memory models are assessed for their ability to account for the relatively invariant correlation (≈ .5) between successive recognition and recall. Basic versions of each model either under- or overpredict the intertask correlation. Introducing variability in goodness-of-encoding and response criteria, as well as output encoding, enabled all 4 models to reproduce the moderate intertask correlation and the increase in correlation observed in 2 mixed-list experiments. This model-based analysis provides a general theoretical framework for interpreting contingencies between successive memory tests. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Classification of heart rate data using artificial neural network and fuzzy equivalence relation

The electrocardiogram is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks, etc. may contain useful information about the nature of disease afflicting the heart. However, these subtle details cannot be directly monitored by the human observer. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the signal parameters, extracted and analysed using computers, are highly useful in diagnostics. This paper deals with the classification of certain diseases using artificial neural network (ANN) and fuzzy equivalence relations. The heart rate variability is used as the base signal from which certain parameters are extracted and presented to the ANN for classification. The same data is also used for fuzzy equivalence classifier. The feedforward architecture ANN classifier is seen to be correct in about 85% of the test cases, and the fuzzy classifier yields correct classification in over 90% of the cases.     

系统生存性分析与需求定义

通过对计算机分布式系统安全问题的介绍 ,提出了生存性的概念 ,并对其进行了分析 ,给出了生存性的定义。生存性的着重点在于当系统受到攻击 ,甚至已被成功入侵的情况下保护关键性服务。     

基于图象识别的水泥预加水成球闭环控制方法

分析现有参加水成球开环控制系统存在的问题，提出一种基于计算机图象识别的技术的水泥预加水成球闭环控制方法。     

自行车群体流的在线实时测量

本文提出了一种利用环形线圈采用动态频差法配合模式识别技术实现对自行车群体流自动检测的方法。讨论了该方法的基本原理、识别模型及据此方法研制成的在线实时智能式自行车群体流量测量仪的试验结果，其测量准确度达８５％以上，数据以５秒时间间隔存入内存或上位机。此样机在现场连续运行３年多，已获满意结果。     

多声部乐谱图象识别系统

文章提出一个完整的系统，将多声部乐谱原文转换成可编辑乐谱文本。系统首先在乐符检测阶段将图象切分为谱表，然后再其切分成个别对象。     

Application of multi-layer perceptron neural networks to vision problems

This paper discusses the application of a class of feed-forward Artificial Neural Networks (ANNs) known as Multi-Layer Perceptrons(MLPs) to two vision problems: recognition and pose estimation of 3D objects from a single 2D perspective view; and handwritten digit recognition. In both cases, a multi-MLP classification scheme is developed that combines the decisions of several classifiers. These classifiers operate on the same feature set for the 3D recognition problem whereas different feature types are used for the handwritten digit recognition. The backpropagationlearning rule is used to train the MLPs. Application of the MLP architecture to other vision problems is also briefly discussed.