Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) ◽

10.1109/mmsp.2016.7813403 ◽

2016 ◽

Cited By ~ 1

Author(s):

Walid Masoudimansour ◽

Nizar Bouguila

Keyword(s):

Dimensionality Reduction ◽

Dirichlet Mixture ◽

Proportional Data ◽

Linear Dimensionality Reduction ◽

Generalized Dirichlet

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Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7952668 ◽

2017 ◽

Author(s):

Walid Masoudimansour ◽

Nizar Bouguila

Keyword(s):

Dimensionality Reduction ◽

Dirichlet Mixture ◽

Proportional Data ◽

Linear Dimensionality Reduction

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Linear dimensionality reduction based on Hybrid structure preserving projections

Neurocomputing ◽

10.1016/j.neucom.2015.07.011 ◽

2016 ◽

Vol 173 ◽

pp. 518-529 ◽

Cited By ~ 15

Author(s):

Yupei Zhang ◽

Ming Xiang ◽

Bo Yang

Keyword(s):

Dimensionality Reduction ◽

Hybrid Structure ◽

Structure Preserving ◽

Linear Dimensionality Reduction

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Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854907 ◽

2014 ◽

Cited By ~ 1

Author(s):

Jayaraman J. Thiagarajan ◽

Peer-Timo Bremer ◽

Karthikeyan Natesan Ramamurthy

Keyword(s):

Dimensionality Reduction ◽

Dimension Estimation ◽

Multiple Kernel ◽

Non Linear ◽

Linear Dimensionality Reduction

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Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding

Multimedia Tools and Applications ◽

10.1007/s11042-021-11479-7 ◽

2022 ◽

Author(s):

Adarsh Prasad Behera ◽

Jagriti Singh ◽

Shekhar Verma ◽

Manish Kumar

Keyword(s):

Dimensionality Reduction ◽

Data Visualization ◽

Ricci Flow ◽

Non Linear ◽

Feature Based ◽

Linear Dimensionality Reduction

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Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods

Lecture Notes in Computer Science - Advanced Intelligent Computing Theories and Applications ◽

10.1007/978-3-642-14922-1_37 ◽

2010 ◽

pp. 291-300 ◽

Cited By ~ 7

Author(s):

Shu-Lin Wang ◽

Hong-Zhu You ◽

Ying-Ke Lei ◽

Xue-Ling Li

Keyword(s):

Dimensionality Reduction ◽

Performance Comparison ◽

Tumor Classification ◽

Non Linear ◽

Reduction Methods ◽

Linear Dimensionality Reduction

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Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction

Progress in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/978-3-540-76931-6_8 ◽

2007 ◽

pp. 84-95 ◽

Cited By ~ 1

Author(s):

Stephan K. Chalup ◽

Riley Clement ◽

Chris Tucker ◽

Michael J. Ostwald

Keyword(s):

Dimensionality Reduction ◽

Visual Experience ◽

Non Linear ◽

Linear Dimensionality Reduction

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Linear Dimensionality Reduction for Time Series

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70087-8_40 ◽

2017 ◽

pp. 375-383 ◽

Cited By ~ 1

Author(s):

Nikolaos Gianniotis

Keyword(s):

Time Series ◽

Dimensionality Reduction ◽

Linear Dimensionality Reduction

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High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2007.1095 ◽

2007 ◽

Vol 29 (10) ◽

pp. 1716-1731 ◽

Cited By ~ 107

Author(s):

Nizar Bouguila ◽

Djemel Ziou

Keyword(s):

Mixture Model ◽

High Dimensional ◽

Minimum Message Length ◽

Message Length ◽

Model Based ◽

Dirichlet Mixture ◽

Generalized Dirichlet

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Image classification using manifold learning based non-linear dimensionality reduction

2018 26th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2018.8404441 ◽

2018 ◽

Author(s):

Ainuddin Faaeq ◽

Huseyin Guruler ◽

Musa Peker

Keyword(s):

Dimensionality Reduction ◽

Image Classification ◽

Manifold Learning ◽

Non Linear ◽

Linear Dimensionality Reduction

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Non-linear Dimensionality Reduction by Locally Linear Isomaps

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30499-9_161 ◽

2004 ◽

pp. 1038-1043 ◽

Cited By ~ 26

Author(s):

Ashutosh Saxena ◽

Abhinav Gupta ◽

Amitabha Mukerjee

Keyword(s):

Dimensionality Reduction ◽

Non Linear ◽

Linear Dimensionality Reduction ◽

Locally Linear

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