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数据结构 TV-tree的c实现源码

TV-tree的c实现源码,对应原文章K.-I. Lin, H. V. Jagadish, C. Faloutsos: The TV-Tree: An Index Structure for High-Dimensional Data.
https://www.eeworm.com/dl/654/187478.html
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数据结构 X-tree的C++源码

X-tree的C++源码,对应文章S. Berchtold, D. A. Keim, H.-P. Kriegel: The X-tree : An Index Structure for High-Dimensional Data.
https://www.eeworm.com/dl/654/187479.html
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其他行业 Feature selection is a preprocessing technique frequently used in data mining and machine learning t

Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimen ...
https://www.eeworm.com/dl/668/239183.html
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文件格式 We propose a novel approach for head tracking, which combines particle filters with Isomap. The part

We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle ap ...
https://www.eeworm.com/dl/639/241526.html
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文件格式 In this paper, we consider the problem of filtering in relational hidden Markov models. We present

In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formu ...
https://www.eeworm.com/dl/639/241528.html
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文件格式 We present a particle filter construction for a system that exhibits time-scale separation. The sep

We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the system needed to solve for each particle and ii) the factor ...
https://www.eeworm.com/dl/639/241531.html
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数学计算 Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any si

Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any size. This is done by treating // the name of a 2-dimensional array as pointer to the beginning of the // array. This makes use of the fact that arrays in C are stored in // row-major order.
https://www.eeworm.com/dl/641/259304.html
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Java编程 A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation

A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as the priors, and the conditional likelihoods of each feature with respect to each c ...
https://www.eeworm.com/dl/633/294638.html
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matlab例程 GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to so

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a th ...
https://www.eeworm.com/dl/665/304373.html
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matlab例程 JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the p

JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for c ...
https://www.eeworm.com/dl/665/305575.html
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