Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study

2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia) ◽

10.1109/aciiasia.2018.8470329 ◽

2018 ◽

Author(s):

Chenfeng Guo ◽

Dongrui Wu

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Feature Dimensionality Reduction

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Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-57351-9_13 ◽

2017 ◽

pp. 97-102

Author(s):

Rodolfo Garcia ◽

Emerson Cabrera Paraiso ◽

Julio Cesar Nievola

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Multiple Datasets ◽

Reduction Methods

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A Comparative Study of Linear and Nonlinear Dimensionality Reduction for Speaker Identification

2007 15th International Conference on Digital Signal Processing ◽

10.1109/icdsp.2007.4288650 ◽

2007 ◽

Author(s):

Andrew Errity ◽

John McKenna

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Speaker Identification ◽

Nonlinear Dimensionality Reduction ◽

Linear And Nonlinear

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A feature dimensionality reduction strategy coupled with an electronic nose to identify the quality of egg

Journal of Food Process Engineering ◽

10.1111/jfpe.13873 ◽

2021 ◽

Author(s):

Zhijie Hua ◽

Yang Yu ◽

Chenran Zhao ◽

Jinwei Zong ◽

Yan Shi ◽

...

Keyword(s):

Dimensionality Reduction ◽

Electronic Nose ◽

Reduction Strategy ◽

Feature Dimensionality Reduction

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Comparative Study of Dimensionality Reduction Techniques for Data Visualization

Journal of Artificial Intelligence ◽

10.3923/jai.2010.119.134 ◽

2010 ◽

Vol 3 (3) ◽

pp. 119-134 ◽

Author(s):

F.S. Tsai

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Data Visualization ◽

Reduction Techniques ◽

Dimensionality Reduction Techniques

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Human activity recognition based on smartphone using fast feature dimensionality reduction technique

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-020-02351-x ◽

2020 ◽

Author(s):

B. A. Mohammed Hashim ◽

R. Amutha

Keyword(s):

Dimensionality Reduction ◽

Activity Recognition ◽

Human Activity ◽

Human Activity Recognition ◽

Reduction Technique ◽

Dimensionality Reduction Technique ◽

Feature Dimensionality Reduction

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A Approach for Text Classification Feature Dimensionality Reduction and Rule Generation on Rough Set

2008 3rd International Conference on Innovative Computing Information and Control ◽

10.1109/icicic.2008.7 ◽

2008 ◽

Author(s):

Shiqun Yin ◽

Zhixing Huang ◽

Lu Chen ◽

Yuhui Qiu

Keyword(s):

Dimensionality Reduction ◽

Rough Set ◽

Text Classification ◽

Rule Generation ◽

Classification Feature ◽

Feature Dimensionality Reduction

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Comparative study of feature extraction algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods

Eleventh International Conference on Machine Vision (ICMV 2018) ◽

10.1117/12.2523098 ◽

2019 ◽

Author(s):

Egor Dmitriev ◽

Vladislav Myasnikov

Keyword(s):

Feature Extraction ◽

Comparative Study ◽

Dimensionality Reduction ◽

Digital Images ◽

Gradient Fields ◽

Reduction Methods ◽

Linear Dimensionality Reduction ◽

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Feature Dimensionality Reduction using a Dual Level Metaheuristic Algorithm

International Journal of Applied Information Systems ◽

10.5120/ijais14-451134 ◽

2014 ◽

Vol 7 (1) ◽

pp. 49-52

Author(s):

Babatunde R.S. ◽

Olabiyisi S. O. ◽

Omidiora E. O. ◽

Ganiyu R. A.

Keyword(s):

Dimensionality Reduction ◽

Metaheuristic Algorithm ◽

Feature Dimensionality Reduction

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Intrusion Detection Method of Internet of Things Based on Multi GBDT Feature Dimensionality Reduction and Hierarchical Traffic Detection

Journal of Quantum Computing ◽

10.32604/jqc.2021.025373 ◽

2021 ◽

Vol 3 (4) ◽

pp. 161-171

Author(s):

Taifeng Pan

Keyword(s):

Internet Of Things ◽

Intrusion Detection ◽

Dimensionality Reduction ◽

Detection Method ◽

Feature Dimensionality Reduction ◽

Traffic Detection

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Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study

Lecture Notes in Computer Science - Image and Signal Processing ◽

10.1007/978-3-030-51935-3_34 ◽

2020 ◽

pp. 317-325

Author(s):

Mebarka Allaoui ◽

Mohammed Lamine Kherfi ◽

Abdelhakim Cheriet

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Clustering Algorithms ◽

Reduction Technique ◽

Dimensionality Reduction Technique

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