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Description: 书籍The Epipolar Geometry Toolbox (EGT)的MATLAB源代码
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Size: 3766686 |
Author: Zhang xiaowei |
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Description: 书籍The Epipolar Geometry Toolbox (EGT)的MATLAB源代码-Books The Epipolar Geometry Toolbox (EGT) of the MATLAB source code
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Size: 3766272 |
Author: Zhang xiaowei |
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Description: 流分类中的一种算法：Packet Classification Using Multidimensional Cutting-This paper introduces a classification algorithm called HyperCuts.
Like the previously best known algorithm, HiCuts,
HyperCuts is based on a decision tree structure. Unlike
HiCuts, however, in which each node in the decision tree
represents a hyperplane, each node in the HyperCuts decision
tree represents a k− dimensional hypercube. Using this
extra degree off reedom and a new set of heuristics to find
optimal hypercubes for a given amount of storage, Hyper-
Cuts can provide an order ofma gnitude improvement over
existing classification algorithms. HyperCuts uses 2 to 10
times less memory than HiCuts optimized for memory, while
the worst case search time ofH yperCuts is 50− 500 better
than that ofH iCuts optimized for speed. Compared with
another recent scheme, EGT-PC, HyperCuts uses 1.8 − 7
times less memory space while the worst case search time is
up to 5 times smaller. More importantly, unlike EGT-PC,
HyperCuts can be fully pipelined to provide one
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Size: 216064 |
Author: Reguse |
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Description: toolbox for camera calbiration using matlab
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Size: 1261568 |
Author: rosa123 |
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Description: Temperature Dependance of Binary Nitrides
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Size: 1024 |
Author: Navin |
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Description: This extention to my earlier code EgT binary -nitride.
In this function , I have implemented the code for ternary nitride also.-This is extention to my earlier code EgT binary -nitride.
In this function , I have implemented the code for ternary nitride also.
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Size: 1024 |
Author: Navin |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv
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Size: 342016 |
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Description: solitaire peg game asaswfwrg ewg ertg ger hge g g g egt ehg e g erg sgrewsg g
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Size: 4454400 |
Author: Vitorpeneda |
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