Novel Robust and Invariant Feature Extraction by Spatio-temporal Decomposition of Images

2008 IEEE 8th International Conference on Computer and Information Technology Workshops ◽

10.1109/cit.2008.workshops.27 ◽

2008 ◽

Author(s):

S.K. Korikana ◽

V. Chandrasekaran

Keyword(s):

Feature Extraction ◽

Invariant Feature ◽

Temporal Decomposition ◽

Spatio Temporal

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FP-STE: A Novel Node Failure Prediction Method Based on Spatio-Temporal Feature Extraction in Data Centers

Computer Modeling in Engineering & Sciences ◽

10.32604/cmes.2020.09404 ◽

2020 ◽

Vol 123 (3) ◽

pp. 1015-1031

Author(s):

Yang Yang ◽

Jing Dong ◽

Chao Fang ◽

Ping Xie ◽

Na An

Keyword(s):

Feature Extraction ◽

Data Centers ◽

Failure Prediction ◽

Prediction Method ◽

Node Failure ◽

Spatio Temporal ◽

Temporal Feature

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2.5D face landmarking via scale-invariant feature extraction and centroid localization

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) ◽

10.1109/iccoins.2016.7783244 ◽

2016 ◽

Author(s):

SukTing Pui ◽

Terrin Lim ◽

Jacey-Lynn Minoi

Keyword(s):

Feature Extraction ◽

Scale Invariant ◽

Invariant Feature ◽

Scale Invariant Feature

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Localization of the sources of the EEG: verification of the spatio-temporal decomposition approach

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society ◽

10.1109/iembs.1995.579756 ◽

2002 ◽

Author(s):

Z.J. Koles ◽

A.C.K. Soong

Keyword(s):

Decomposition Approach ◽

Temporal Decomposition ◽

Spatio Temporal

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Progressive Spatio-Temporal Feature Extraction Model For Gait Recognition

10.1109/icip42928.2021.9506490 ◽

2021 ◽

Author(s):

Jingran Su ◽

Yang Zhao ◽

Xuelong Li

Keyword(s):

Feature Extraction ◽

Gait Recognition ◽

Spatio Temporal ◽

Extraction Model ◽

Temporal Feature

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A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection

2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) ◽

10.1109/bhi50953.2021.9508552 ◽

2021 ◽

Author(s):

Neeraj ◽

Vatsal Singhal ◽

Jimson Mathew

Keyword(s):

Feature Extraction ◽

Deep Learning ◽

Spatio Temporal ◽

Temporal Feature

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A spatio-temporal decomposition analysis of energy-related CO2 emission growth in China

Journal of Cleaner Production ◽

10.1016/j.jclepro.2014.09.025 ◽

2015 ◽

Vol 103 ◽

pp. 49-60 ◽

Author(s):

Liang Chen ◽

Zhifeng Yang

Keyword(s):

Co2 Emission ◽

Decomposition Analysis ◽

Temporal Decomposition ◽

Spatio Temporal ◽

Emission Growth

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A Novel Affine Invariant Feature Extraction for Optical Recognition

2007 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2007.4370434 ◽

2007 ◽

Author(s):

Melody Z.W. Liao ◽

Ling Wei ◽

W.F. Chen

Keyword(s):

Feature Extraction ◽

Affine Invariant ◽

Invariant Feature ◽

Optical Recognition

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Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929–1945]

10.1016/j.neuroimage.2011.05.042 ◽

2011 ◽

Vol 57 (4) ◽

pp. 1631 ◽

Author(s):

Wei Wu ◽

Zhe Chen ◽

Shangkai Gao ◽

Emery N. Brown

Keyword(s):

Bayesian Approach ◽

Hierarchical Bayesian ◽

Temporal Decomposition ◽

Spatio Temporal ◽

Multichannel Eeg

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Scale-invariant feature extraction of neural network and renormalization group flow

Physical Review E ◽

10.1103/physreve.97.053304 ◽

2018 ◽

Vol 97 (5) ◽

Author(s):

Satoshi Iso ◽

Shotaro Shiba ◽

Sumito Yokoo

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Renormalization Group ◽

Renormalization Group Flow ◽

Scale Invariant ◽

Invariant Feature ◽

Scale Invariant Feature ◽

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Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3135117 ◽

2021 ◽

pp. 1-1

Author(s):

Hehe Fan ◽

Xin Yu ◽

Yi Yang ◽

Mohan Kankanhalli

Keyword(s):

Point Cloud ◽

Hierarchical Representation ◽

Temporal Decomposition ◽

Spatio Temporal

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