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DIMENSIONALity

Set of functions that can be used for interpolation of scattered data of any DIMENSIONALity.

Set of functions that can be used for interpolation of scattered data of any DIMENSIONALity.

標簽： DIMENSIONALity interpolation functions scattered

上傳時間： 2013-12-09

上傳用戶：maizezhen
relevant DIMENSIONALity estimate toolbox

relevant DIMENSIONALity estimate toolbox

標簽： DIMENSIONALity relevant estimate toolbox

上傳時間： 2013-12-10

上傳用戶：英雄
An Introduction to DIMENSIONALity Reduction Using Matlab

An Introduction to DIMENSIONALity Reduction Using Matlab

標簽： DIMENSIONALity Introduction Reduction Matlab

上傳時間： 2013-12-08

上傳用戶：tb_6877751
DIMENSIONALity Reduction for Distributed Estimation in the Infinite Dimensional Regime

DIMENSIONALity Reduction for Distributed Estimation in the Infinite Dimensional Regime

標簽： DIMENSIONALity Dimensional Distributed Estimation

上傳時間： 2017-06-07

上傳用戶：familiarsmile
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear DIMENSIONALity reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.

標簽： Description supervised algorithm S-ISOMAP

上傳時間： 2015-04-10

上傳用戶：wfeel
This paper studies the problem of categorical data clustering, especially for transactional data ch

This paper studies the problem of categorical data clustering, especially for transactional data characterized by high DIMENSIONALity and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster histogram, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world

標簽： data transactional categorical clustering

上傳時間： 2015-10-24

上傳用戶：evil
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-dimensional data and has been shown effective in removing both irrelevant features and redundant features

標簽： preprocessing frequently selection technique

上傳時間： 2014-01-19

上傳用戶：lindor
這是LLE的原始算法

這是LLE的原始算法，原文的參考文獻是：S.T.Roweis and L.K.Saul. Nonlinear DIMENSIONALity reduction by locally linear embedding. Science, 290, 2000.

標簽： LLE 算法

上傳時間： 2013-12-20

上傳用戶：蟲蟲蟲蟲蟲蟲
This thesis presents a comprehensive overview of the problem of facial recognition. A survey of avai

This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di鏗€erent feature extraction and DIMENSIONALity reduction methods and light normalization methods are presented.

標簽： comprehensive recognition presents overview

上傳時間： 2017-05-05

上傳用戶：royzhangsz
Dynamic+Channel+Acquisition

Multiuser multiple-input-multiple-output (MU- MIMO) systems are known to be hindered by DIMENSIONALity loss due to channel state information (CSI) acquisition overhead. In this paper, we investigate user-scheduling in MU-MIMO systems on account of CSI acquisition overhead, where a base station dynamically acquires user channels to avoid choking the system with CSI overhead.

標簽： Acquisition Dynamic Channel

上傳時間： 2020-05-27

上傳用戶：shancjb

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DIMENSIONALity

Set of functions that can be used for interpolation of scattered data of any DIMENSIONALity.

relevant DIMENSIONALity estimate toolbox

An Introduction to DIMENSIONALity Reduction Using Matlab

DIMENSIONALity Reduction for Distributed Estimation in the Infinite Dimensional Regime

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

This paper studies the problem of categorical data clustering, especially for transactional data ch

Feature selection is a preprocessing technique frequently used in data mining and machine learning t

這是LLE的原始算法

This thesis presents a comprehensive overview of the problem of facial recognition. A survey of avai

Dynamic+Channel+Acquisition