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Description: CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
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Size: 13312 |
Author: 林文 |
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Description: Do mesmo modo, o desenvolvimento contínuo de distintas formas de atuaç ã o possibilita uma melhor visã o global das novas proposiç õ es. Percebemos, cada vez mais, que a necessidade de renovaç ã o processual apresenta tendências no sentido de aprovar a manutenç ã o dos modos de operaç ã o convencionais. Nunca é demais lembrar o peso e o significado destes problemas, uma vez que a determinaç ã o clara de objetivos oferece uma interessante oportunidade para verificaç ã o do sistema de participaç ã o geral. A prática cotidiana prova que o comprometimento entre as equipes prepara-nos para enfrentar situaç õ es atípicas decorrentes das condiç õ es inegavelmente apropriadas. Acima de tudo, é fundamental ressaltar que a consulta aos diversos militantes causa impacto indireto na reavaliaç ã o das direç õ es preferenciais no sentido do progresso.
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Size: 1024 |
Author: xeletrons |
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Description: Haipeng Jin and Kameswari Chebrolu, UCSD
Aditya Pande and Xiaohua Chen, Stanford University
Javad Razavilar, Magis Networks Inc., San Diego
Barani Subbiah, 3Com Corp., Santa Clara
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Size: 87040 |
Author: Manwinder Singh |
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Description: This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs.
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Size: 351232 |
Author: anna |
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Description: clrs solution
Instructor’ s Manual
by Thomas H. Cormen
Clara Lee
Erica Lin
to Accompany
Introduction to Algorithms
Second Edition
by Thomas H. Cormen
Charles E. Leiserson
Ronald L. Rivest
Clifford Stein
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Size: 1541120 |
Author: rey |
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Description: Please contact Sun Microsystems, Inc., 4150 Network Circle, Santa Clara, CA 95054 USA or visit www.sun.com if you need additional information or have any questions.
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Size: 2048 |
Author: yaopbcg |
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Description: Esse livro se destina àquelas pessoas que gostam de informática e de aprender cada vez mais. Nã o importa se ao usuário comum ou o técnico, todos se identificarã o muito com a obra. Os assuntos serã o apresentados de maneira objetiva, em uma linguagem clara e direta. Explica como e porque a seguranç a na informática hoje é um problema tã o grande.
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Size: 1230848 |
Author: tiago cipriano |
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Description: 图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine
relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐
tation and testing of image processing workflows. The Image Processing Toolbox
™
(IPT)
includes all the necessary tools for general-purpose image processing incorporating more than
300 functions which have been optimised to offer good accuracy and high speed of processing.
Moreover, the built-in Parallel Computing Toolbox
™
(PCT) has recently been expanded and
now supports graphics processing unit (GPU) acceleration for some functions of the IPT.
However, for many image processing applications we still need to write our own code, either
in MATLAB or, in the case of GPU-accelerated applications requiring specific control over
GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in
image analysis and assessment as well as in extraction of useful information for further
processing and assessment. These include retrieving information about digital images, image
adjustment and processing as well as feature extraction and video handling. The second part
is dedicated to GPU acceleration of image processing techniques either by using the built-in
PCT functions or through writing our own functions. Each section is accompanied by MAT‐
LAB example code.
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Size: 629760 |
Author: 阿新 |
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Description: Calypso/Iota/Clara System Application Notes
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Size: 1603584 |
Author: tvman_od
|
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Description: k-medoids with matlab is very strong
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Size: 731136 |
Author: akbari1368
|
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Description: A biblia sql server 2012 trás uma abordagem profunda, com linguagem clara e de fácil compreensão.
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Size: 22584011 |
Author: ulisseshen |
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