开集

LF拓扑空间中LF-r开集与r连通性

On LF-r Open Set , r Connectivity in LF Topological Space

本文证明了拓扑向量空间E是序列型空间的一个特征为：（1）E的每个序列开集都是开集；

In this paper , it is proved that the criterion for a topological vector space Eto be a sequential space is : ( 1 ) every sequentially open set of E is an open set ;

基于DSP开集说话人识别系统的实时实现

Realtime Implementation of Open-Set Speaker - Recognition System by DSP

拓扑空间X称为s连通，若X不能表示为两个非空的不相交的序列开集之并。

A space is called s-connected if it cannot be represented as the union of two non-empty disjoint sequentially closed subsets .

符号空间开集的Hausdorff测度和Hausdorff维数

Hausdorff Measures and Hausdorff Dimensions of Open Sets in Symbolic Spaces

设A为一有单位元的复Banach代数，DA为非空开集。

Let A be a unital complex Banach algebra and D be a nonempty open subset of A .

这构成了开集基（Xf）f？？上的环的予层。

It constitutes a presheaf of ring on the basis of open sets . ( Xf ) f ?? .

设F件实Banach空间X中的楔形，DX是有界开集，A：F→CK（F）是u。

Let F be a wedge in a real Banach Space X and DX be a bounded open set . Suppose that A : _F → CK ( F ) be u.

实验结果表明，所提算法获得的评测结果与主观MOS评价之间的相关度，在闭集测试时可达0.91，在开集测试时可达0.88。

Experimental results show that the correlation between the result of the proposed approach and MOS is up to 0.91 in close-set test and 0.88 in open-set test .

讨论了满足开集条件，且二次可微的一族非线性压缩映射所产生的不变集的Hausdorff维数。

Discusses the Hausdorff dimension of the invariant set which is determined by the collection of the second differentiable nonlinear contraction maps satisfying the open set condition .

对于证据融合方式，本文在分析了D-S理论和现有的融合公式后，提出了适合说话人识别不同应用的开集和闭集融合公式，并讨论了其中参数的选取。

The traditional D-S is not fit for speaker recognition application ; The paper proposes close-set fusion and open-set fusion functions to meet the different kinds of speaker recognition application requirement .

在第一章中，我们讨论了在度量空间中，图定向自相似集的强开集条件、Hausdorff维数，正的Hausdorff测度和β空间之间的关系。

In Chapter One , we find the relationship between strong open set condition , Hausdorff dimension , the positivity of the Hausdorff measure and β space of graph-directed self-similar sets in complete metric spaces .

实验结果表明，使用SVM-GMM模型能有效地提高开集说话人识别的识别率。

Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively .

研究了Z-连续偏序集上的Z-Scott开集，Z-Lawson开集，Z-Scott拓扑及Z-Lawson拓扑的一些性质。

Some properties of Z-Scott open set , Z-Lawson open set , Z-Scott topology and Z-Lawson topology are studied .

本文用新的方法引入fuzzifying半开集的概念；利用此半开集概念确定fuzzifying半邻域系。

In this paper , a new method is presented to introduce the conception of fuzzifying semi-open sets and we define the concepts of the fuzzifying semi-neighborhood system based on it .

建立一种支持向量机-高斯混合模型（SVM-GMM），用以提高开集说话人识别的识别率。

This paper sets up a new Support Vector Machine-Gussian Mixture Model ( SVM-GMM ) to improve speaker recognition rate based on open-set .

作为应用，证明如下结论：（i）若f具有逐点伪轨跟踪性质，且对任意k∈Z+，fk为链转换的，那么对任意k∈Z+，fk为开集转换；

As applications , we prove the following results : ( I ) If / has pointwise pseudo-orbit tracing property , for any k ∈ Z + , and fk is chain transitive , then for any k ∈ Z + , fk has open set transitive ;

在这些充要条件下，所有的广义正则控制器构成一个Zariski开集。

It is also shown that under these necessary and sufficient conditions , all the generalized regularizing feedback controllers form a Zariski open set .

为了减少语音数据量，提高处理速度和识别的准确性，提出了一种采用公共码本、个人隐Markov模型（HMM）和个人拒识阈值进行两级决策来实现开集说话人辨认的新方法。

To reduce required speech data and improve the processing speed and the recognition precision , this paper presents a novel speaker identification method using the public codebook , the individual hidden Markov model ( HMM ) and the individual threshold of rejection to make a two level decision strategy .

由此可以大致推想，为什么除去平凡情形以外，至今还没有一个具体的满足开集条件而维数大于1的自相似集的：Hausdorff测度准确值被计算出来。

In some sense , this explains why , except for trivial examples , there are up to now no concrete self-similar sets with the Open Set Condition and of Hausdorff dimension larger than 1 such that the exact value of its Hausdorff measure has been calculated .

的边界包含一个非空开集。

The boundary of A contains a nonempty open set .

不分明化拓扑中的半开集和半连续函数

Semi - Open Sets and Semi - Continuous Functions in Fuzzifying Topology

一类广义自相似集的有限强开集条件

The Finite Strong Open Set Condition for a Class of Generalized Self-Similar Sets

分形几何的前沿问题&开集条件与强开集条件

Problems in Fractal Geometry & Open Set Condition and Strong Open Set Condition

两级决策的开集说话人辨认方法

Method of open-set speaker identification with two-level decision strategy

模糊半开集和半分离性公理

Fuzzy Semi open Sets and Semi seperation Axioms

鲁棒性的与文本无关的开集说话人辨识方法研究

The Research of Robust Text-independent Open-set Speaker Recognition

R~n空间的开集构造定理

The Theorem of the Composition of the Open Sets in R ~ n Spaces

本文的第二个工作是针对开集说话人辨认问题，提出了支持向量区域描述算法。

The second issue is Support Vector Domain Description for open set speaker recognition .

在点集拓扑理论中，开集、域等是最基本的概念。

In point set topological theory , open set and neighborhood are the basic concept .