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Local tangent space alignment
Known as:
LTSA
Local tangent space alignment (LTSA) is a method for manifold learning, which can efficiently learn a nonlinear embedding into low-dimensional…
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Related topics
Related topics
3 relations
Dimensionality reduction
Nonlinear dimensionality reduction
Nonlinear system
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Fault Detection of Discriminant Improved Local Tangent Space Alignment
Sihang Li
,
Ping Qian
,
Haoyu Gu
International Conference on Intelligent…
2019
Corpus ID: 211206039
With the increasing complexity of automation systems in chemical processes, online monitoring and fault diagnosis are effective…
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2015
2015
Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment
Shaojiang Dong
,
Lili Chen
,
B. Tang
,
Xiangyang Xu
,
Zheng Gao
,
Juan Liu
2015
Corpus ID: 54948091
In order to identify the fault of rotating machine effectively, a new method based on the morphological filter optimized by…
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2013
2013
Improved local tangent space alignment algorithm
Gu Yan-chun
2013
Corpus ID: 123518193
As one of the classical manifold learning algorithms,LTSA algorithm can yield low-dimensional embedding coordinates from high…
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2012
2012
Local Tangent Space Alignment
Jianzhong Wang
2012
Corpus ID: 124202559
In this chapter, a dimensionality reduction embedding method, called local tangent space alignment (LTSA), is introduced. The…
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2012
2012
Data-Based Modeling and Monitoring for Multimode Processes Using Local Tangent Space Alignment
Ying-wei Zhang
,
Hailong Zhang
International Symposium on Neural Networks
2012
Corpus ID: 38038009
In the paper, a new online monitoring approach is proposed for handling the multimode monitoring problem in the industrial batch…
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2010
2010
Multi-pose ear recognition base on a local tangent space alignment algorithm
Ouyang Ding-heng
2010
Corpus ID: 124983000
As an effective nonlinear dimensionality reduction tool,the local tangent space alignment algorithm(LTSA)can obtain the global…
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2009
2009
Robust Local Tangent Space Alignment
Yubin Zhan
,
Jianping Yin
International Conference on Neural Information…
2009
Corpus ID: 31193488
This paper investigates noise manifold learning problem, which is a key issue in applying manifold learning to practical problem…
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2009
2009
Face Recognition Using Orthogonal Discriminant Linear Local Tangent Space Alignment
Liu Shaoqiang
2009
Corpus ID: 124729664
In order to develop linear local tangent space alignment to supervised learning algorithm, an algorithm called orthogonal…
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Highly Cited
2006
Highly Cited
2006
Concurrent aspects
Rémi Douence
,
Didier Le Botlan
,
Jacques Noyé
,
Mario Südholt
International Conference on Generative…
2006
Corpus ID: 10770599
Aspect-Oriented Programming (AOP) promises the modularization of so-called crosscutting functionalities in large applications…
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Highly Cited
2000
Highly Cited
2000
Accepted for publication in the Astronomical Journal Preprint typeset using L ATEX style emulateapj v. 20/04/00 CHANDRA OBSERVATIONS OF NGC 253: NEW INSIGHTS INTO THE NATURE OF
2000
Corpus ID: 16554314
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