Robust video fingerprinting scheme based on contourlet hidden Markov tree model

Optik ◽

10.1016/j.ijleo.2016.09.105 ◽

2017 ◽

Vol 128 ◽

pp. 139-147 ◽

Author(s):

Rui Sun ◽

Xiaoxing Yan ◽

Jun Gao

Keyword(s):

Hidden Markov ◽

Video Fingerprinting ◽

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A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods

International Journal of Remote Sensing ◽

10.1080/01431161.2020.1823514 ◽

2020 ◽

Vol 42 (3) ◽

pp. 1160-1179

Author(s):

Zhe Jiang ◽

Arpan Man Sainju

Keyword(s):

High Resolution ◽

Hidden Markov ◽

Aerial Imagery ◽

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SAR and panchromatic image fusion based on contourlet hidden markov tree model

10.1117/12.902806 ◽

2011 ◽

Author(s):

Huihui Li ◽

Kun Liu

Keyword(s):

Image Fusion ◽

Hidden Markov ◽

Panchromatic Image ◽

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A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets

BMC Bioinformatics ◽

10.1186/s12859-018-2106-5 ◽

2018 ◽

Vol 19 (1) ◽

Author(s):

Kun Liang ◽

Chuanlong Du ◽

Hankun You ◽

Dan Nettleton

Keyword(s):

Gene Ontology ◽

Hidden Markov ◽

Multiple Hypotheses ◽

Markov Tree ◽

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Event-Related Potential Noise Reduction Using the Hidden Markov Tree Model

Applied Research in Uncertainty Modeling and Analysis - International Series in Intelligent Technologies ◽

10.1007/0-387-23550-7_5 ◽

2007 ◽

pp. 91-113

Author(s):

Rafael E. Herrera ◽

Mingui Sun ◽

Ronald E. Dahl ◽

Neal D. Ryan ◽

Robert J. Sclabassi

Keyword(s):

Noise Reduction ◽

Hidden Markov ◽

Event Related Potential ◽

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Super Resolution for Remote Sensing Images Based on a Universal Hidden Markov Tree Model

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2009.2031636 ◽

2010 ◽

Vol 48 (3) ◽

pp. 1270-1278 ◽

Author(s):

Feng Li ◽

Xiuping Jia ◽

D. Fraser ◽

A. Lambert

Keyword(s):

Remote Sensing ◽

Hidden Markov ◽

Super Resolution ◽

Remote Sensing Images ◽

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Feature Extraction Based on Wavelet Domain Hidden Markov Tree Model for Robust Speech Recognition

Lecture Notes in Computer Science - AI 2004: Advances in Artificial Intelligence ◽

10.1007/978-3-540-30549-1_116 ◽

2004 ◽

pp. 1154-1159 ◽

Author(s):

Sungyun Jung ◽

Jongmok Son ◽

Keunsung Bae

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Hidden Markov ◽

Robust Speech Recognition ◽

Wavelet Domain ◽

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Application of Hidden Markov Tree Model to On-line Detection of Surface Defects for Steel Strips

Journal of Mechanical Engineering ◽

10.3901/jme.2013.22.034 ◽

2013 ◽

Vol 49 (22) ◽

pp. 34 ◽

Author(s):

Ke XU

Keyword(s):

Surface Defects ◽

Hidden Markov ◽

Line Detection ◽

Markov Tree ◽

Steel Strips ◽

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A Wavelet-Domain Hidden Markov Tree Model with Localized Parameters for Image Denoising

Wavelet Analysis and Applications - Applied and Numerical Harmonic Analysis ◽

10.1007/978-3-7643-7778-6_41 ◽

2007 ◽

pp. 561-574

Author(s):

Minghui Yang ◽

Zhiyun Xiao ◽

Silong Peng

Keyword(s):

Image Denoising ◽

Hidden Markov ◽

Wavelet Domain ◽

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Image inpainting with a wavelet domain Hidden Markov tree model

2008 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2008.4517724 ◽

2008 ◽

Author(s):

George Papandreou ◽

Petros Maragos ◽

Anil Kokaram

Keyword(s):

Hidden Markov ◽

Image Inpainting ◽

Wavelet Domain ◽

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Texture image segmentation using Vonn mixtures-based hidden Markov tree model and relative phase

Multimedia Tools and Applications ◽

10.1007/s11042-020-09491-4 ◽

2020 ◽

Vol 79 (39-40) ◽

pp. 29799-29824

Author(s):

Pan-pan Niu ◽

Li Wang ◽

Xin Shen ◽

Qian Wang ◽

Xiang-yang Wang

Keyword(s):

Image Segmentation ◽

Relative Phase ◽

Hidden Markov ◽

Texture Image ◽

Markov Tree ◽

Texture Image Segmentation

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