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Description: Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
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Size: 1835 |
Author: 西晃云 |
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Description: KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
Platform: |
Size: 1926 |
Author: 西晃云 |
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Description: Camera s calibration common object is grids. Deal with the grids ,pop method was corner-detect. But when the picture is distort strongly,it will useless. So,I try to take the centres of the grids to act as the tarket symbols for calibration.
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Size: 82050 |
Author: robot |
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Description: 模式识别算法
k均值和感知器算法的具体实现实例-Pattern recognition algorithm for k-means algorithm and the perceptron realize specific examples
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Size: 177152 |
Author: fengyuan |
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Description: Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
Platform: |
Size: 2048 |
Author: 西晃云 |
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Description: KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
Platform: |
Size: 2048 |
Author: 西晃云 |
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Description: 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing
Platform: |
Size: 320512 |
Author: Gang Li |
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Description: Camera s calibration common object is grids. Deal with the grids ,pop method was corner-detect. But when the picture is distort strongly,it will useless. So,I try to take the centres of the grids to act as the tarket symbols for calibration.-Camera s calibration common object is grids. Deal with the grids, pop method was corner-detect. But when the picture is distort strongly, it will useless. So, I try to take the centres of the grids to act as the tarket symbols for calibration.
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Size: 3491840 |
Author: robot |
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Description: Wireless networking, The guide is for learning practitioners, and their support staff, who are
considering the installation of a new wireless network or want to understand the
implications in extending an existing network by using wireless components. It
offers information to tutors and community development practioners, who may
work in outreach venues, in learning access centres, or in small organisations.
Those who may not have a technical team on call, and require simple DIY
guidance on how to set up a small network of computers to share files, printers
and connect to an existing Internet connection, will find this guide helpful.
Platform: |
Size: 521216 |
Author: eco123u |
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Description: 用于实现求取图像中几个区域的质心，并画在图像中！初学者可以看看！-To find the centres of the objects and show them in the picture!
Platform: |
Size: 2048 |
Author: dony |
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Description: Presentation on Global Data Centres. Should we consolidate or not?
Platform: |
Size: 58368 |
Author: Tristan |
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Description: this function use clustering to find out the RBF network centres
Platform: |
Size: 1024 |
Author: datuan |
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Description: Developing an Isolated Word Recognition System
in MATLAB.
Speech-recognition technology is embedded in voice-activated routing systems
at customer call centres, voice dialling on mobile phones, and many other
everyday applications. A robust speech-recognition system combines accuracy
of identification with the ability to filter out noise and adapt to other acoustic
conditions, such as the speaker’s speech rate and accent. Designing a robust
speech-recognition algorithm is a complex task requiring detailed knowledge of
signal processing and statistical modeling.
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Size: 670720 |
Author: fasterfox |
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Description: 利用欧氏距离计算三维模型的中轴，希望对大家有用！-Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image description and analysis.
MA can be computed on a distance transform, where each point is labelled to its distance to the background. Recent algorithms allow one to
compute Squared Euclidean Distance Transform (SEDT) in linear time in any dimension
Platform: |
Size: 487424 |
Author: Niu Wenjie |
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Description: 本工程着重对既有三维模型的复用，和对模型动画的制作。现在业界很少有基于java3D的动画引擎，本工程也是对java3d在动画方面的创新。工程围绕对3D Max文件格式的解析，动画帧的设计，动画文件的存储，动画的驱动，以及用户界面的设计做了详尽的说明，并提供了可运行的范例代码。在工程的尾声部分，着重说明了代码的重构过程和调试方式-This project, to already having the replying and using of a threedimensional model emphatically, and the making of the model animation. Seldom there is a engine of animation based on java3D in the industry now, this project is innovation in animation to java3d too. The project centres on the analysis of 3D Max file layout, the design of the animation frame, the memory of the animation file correctly, drive of animation, and design , user of interface make exhaustive explanation, have offered the example code that can be operated. In some of coda of the project , have stated constructing the course and debugging the way again of the code emphatically. Make the code simplified further, legible.
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Size: 386048 |
Author: 漂亮 |
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Description: list of HP service centers in chennai
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Size: 56320 |
Author: Jeyakumar Sridhran |
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Description: MR网络购物中心由前台商品展示及销售、后台管理两部分组成。
前台商品展示及销售
该部分主要包括新品上市、特价商品、销售排行、购物车、会员管理、商品公告及订单查询、商品查询等。
后台管理
该部分主要对购物中心内的一些基础数据进行有效管理，包括商品管理、会员管理、订单管理、公告管理等。
-MR Internet shopping from the front display and sale of goods, the background is composed of two parts management.
Front display and sale of goods
This part mainly includes the new listing, specials, sales ranking, shopping cart, members of management, commodity notice and order inquiries, the commodity inquiry.
Backstage management
The part of the main shopping centres of some basic data for effective management, including commodity management, member management, order management, bulletin management.
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Size: 4596736 |
Author: lzc |
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Description: Modern power systems are highly complex and are expected to fulˉll the
growing demands of power wherever required, with acceptable quality and
costs. The economic and environmental factors necessitate the location of
generation at places away from load centres. The restructuring of power
utilities has increased the uncertainties in system operation. The regulatory
constraints on the expansion of the transmission network has resulted in
reduction of stability margins and increased the risks of cascading outages
and blackouts.
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Size: 4344832 |
Author: vamsi |
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Description: 不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elementary usage:
GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of
clusters. Algorithm follows steps outlined in Bishop
(2009) Pattern Recognition and Machine Learning , Chapter 9.
Additional inputs:
bn_noise- allow for uniform background noise term ( T or F ,
default T ). If T , relevant classification uses the
(k+1)th cluster
reps- number of repetitions with different initial conditions
(default = 10). Note: only the best fit (in a likelihood sense) is
returned.
max_iters- maximum iteration number for EM algorithm (default = 100)
tol- tolerance value (default = 0.01)
Outputs
idx- classification/labelling of data in X
mu- GM centres
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Size: 3072 |
Author: 朱魏 |
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Description: internet data centres reenforcement
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Size: 553984 |
Author: chethan |
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