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Isomap
Isomap is a nonlinear dimensionality reduction method. It is one of several widely used low-dimensional embedding methods. Isomap is used for…
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13 relations
Broader (1)
Computational statistics
Dijkstra's algorithm
Dimensionality reduction
Distance matrix
Euclidean distance
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Fault diagnosis of mechanical drives under non-stationary conditions based on manifold learning of kernel mapping
Lin Liang
,
Dan Liu
,
G. Wen
,
Guanghua Xu
,
Yi-Zhuo Zhang
2013
Corpus ID: 58945883
For the detection of mechanical faults under the operating conditions of varying speeds and loads (such as wind turbines…
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2012
2012
Motion capture as Data Source for Gait-based Human Identification
Henryk Josiński
,
A. Świtoński
,
A. Michalczuk
,
K. Wojciechowski
2012
Corpus ID: 8358268
The authors present results of the research aiming at human identification based on tensor representation of the gait motion…
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2010
2010
Color-to-gray conversion using ISOMAP
Ming Cui
,
J. Hu
,
A. Razdan
,
Peter Wonka
The Visual Computer
2010
Corpus ID: 1924651
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using nonlinear…
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2009
2009
Face and Expression Recognition Based on Supervised Isomap
Wang Yi-jun
2009
Corpus ID: 123668303
A face and facial expression recognition method based on supervised isomap is proposed. The method can recognize the facial…
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2009
2009
Automatic configuration of spectral dimensionality reduction methods for 3D human pose estimation
Michal Lewandowski
,
Dimitrios Makris
,
Jean-Christophe Nebel
IEEE 12th International Conference on Computer…
2009
Corpus ID: 14458833
In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction…
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2008
2008
Kernel based incremental learning Isomap algorithm
Y. Zhang
,
Yaonan Wang
,
Chunsheng Li
,
Kena Wang
International Conference on Informatics and…
2008
Corpus ID: 17885983
Isomap is one of widely-used low-dimensional embedding methods. However, in many scenarios, the data come sequentially and the…
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2006
2006
Hierarchical Landmark Charting
Suamporn Ketpreechasawat
,
O. C. Jenkins
2006
Corpus ID: 11465461
In this paper, we propose Hierarchical Landmark Charting (HLC) for discovering low-dimensional structures underlying high…
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2006
2006
Isomap Based on the Image Euclidean Distance
Jie Chen
,
Ruiping Wang
,
S. Shan
,
Xilin Chen
,
Wen Gao
International Conference on Pattern Recognition
2006
Corpus ID: 2587881
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping…
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2006
2006
A Version of Isomap with Explicit Mapping
Chun-Guang Li
,
Jun Guo
,
Guang Chen
,
Xiangfei Nie
,
Zhen Yang
International Conference on Machine Learning and…
2006
Corpus ID: 19679096
Recently several manifold learning algorithms have been presented for nonlinear dimensionality reduction. Isomap is one of them…
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2002
2002
Extended Isomap for classification
Ming-Hsuan Yang
Object recognition supported by user interaction…
2002
Corpus ID: 18071405
The Isomap method has demonstrated promising results in finding a low dimensional embedding from samples in the high dimensional…
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