开集
- opener;open set
![开集](../cache/983174.jpg)
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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
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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 ;
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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
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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 .
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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
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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 .
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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 ?? .
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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.
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 ;
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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 .
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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 .
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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 .
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的边界包含一个非空开集。
The boundary of A contains a nonempty open set .
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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
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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
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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
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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
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模糊半开集和半分离性公理
Fuzzy Semi open Sets and Semi seperation Axioms
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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
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R~n空间的开集构造定理
The Theorem of the Composition of the Open Sets in R ~ n Spaces
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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 .
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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 .