نتایج جستجو برای: separating maps

تعداد نتایج: 127339  

2012
Li Xiaohui

To resolve the local path generating problem for unmanned ground vehicles (UGV) in unstructured environments, a method combining a basic path subdivision method for topological maps of local environments and a Support Vector Machine (SVM) is proposed in this paper. Based on the basic path subdivision method, topological maps of local environments can be extrac...

2000
Yuri V. Andreyev Alexander S. Dmitriev Elena V. Efremova

Here we describe a method for separating the sum of chaotic signals into the individual components, using the inherent underlying dynamics of the chaotic sources. Capabilities of the method are demostrated on example of discrete-time systems, one-dimensional logistic maps. We demonstrate that the proposed approach based on backward iteration of the mapping equations describing the chaotic sourc...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ولی عصر (عج) - رفسنجان - دانشکده ریاضی و کامپیوتر 1389

in this thesis we will present three topics. we define approximate fixed points in fuzzy normed spaces. also we obtain some necessary and sufficient conditions on the existence of? -fixed points for ? > 0. at the continue some results about approximate fixed points for a class of non-expansive maps on g-metric spaces are obtained and we define approximate fixed points in partial metric spa...

2006
Tuoya Yuh Sugii Tadahiro Nagaoka Takayuki Fukuda Hiroko Tada Hidenori Yamada Yasaburo Matsuura Heizo Tokutaka Masaharu Seno

2007
Zevi Miller

Let G and H be graphs, with |G| ≤ |H|. Consider a one-to-one map f:G→H, and define |f| = min{distH(f(x),f(y)): xy E(G)}. Now let the separation of G in H be defined by sep(G,H) = max{|f|: all one-to-one maps f:G→H}. We survey some results of the past several years on this parameter, in particular using Alon and Milman's results on the connection between the second largest eigenvalue of a graph ...

Journal: :CoRR 2016
Devon R. Hjelm Sergey M. Plis Vince D. Calhoun

Functional magnetic resonance imaging (fMRI) of temporally-coherent blood oxygenization leveldependent (BOLD) signal provides an effective means of analyzing functionally coherent patterns in the brain [6, 5, 13]. Intrinsic networks [INs, 3] and functional connectivity are important outcomes of fMRI studies and are central to understanding brain function and making diagnoses [4, 1, 10]. The mos...

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