Sign Language Spotting with a Threshold Model Based on Conditional Random Fields

H.-D. Yang; S. Sclaroff; S.-W. Lee

doi:10.1109/tpami.2008.172

Sign Language Spotting with a Threshold Model Based on Conditional Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2008.172 ◽

2009 ◽

Vol 31 (7) ◽

pp. 1264-1277 ◽

Cited By ~ 128

Author(s):

H.-D. Yang ◽

S. Sclaroff ◽

S.-W. Lee

Keyword(s):

Sign Language ◽

Random Fields ◽

Conditional Random Fields ◽

Threshold Model ◽

Model Based

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Evaluation of threshold model HMMS and Conditional Random Fields for recognition of spatiotemporal gestures in sign language

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops ◽

10.1109/iccvw.2009.5457660 ◽

2009 ◽

Cited By ~ 8

Author(s):

Daniel Kelly ◽

John Mc Donald ◽

Charles Markham

Keyword(s):

Sign Language ◽

Random Fields ◽

Conditional Random Fields ◽

Threshold Model

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Parameter estimation of Conditional Random Fields model based on cloud computing

2012 IEEE International Conference on Granular Computing ◽

10.1109/grc.2012.6468560 ◽

2012 ◽

Author(s):

Wenguang Chen ◽

Yangyang Li ◽

Haoyi Wang ◽

I-Jen Chiang

Keyword(s):

Cloud Computing ◽

Parameter Estimation ◽

Random Fields ◽

Conditional Random Fields ◽

Model Based

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A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields

2011 IEEE International Symposium on Multimedia ◽

10.1109/ism.2011.44 ◽

2011 ◽

Author(s):

M.J. Shafiee ◽

Z. Azimifar ◽

A. Wong ◽

P. Fieguth

Keyword(s):

Hierarchical Model ◽

Random Fields ◽

Conditional Random Fields ◽

Frame Rate ◽

Model Based ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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Detecting Coarticulation in Sign Language using Conditional Random Fields

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.431 ◽

2006 ◽

Cited By ~ 4

Author(s):

Ruiduo Yang ◽

S. Sarkar

Keyword(s):

Sign Language ◽

Random Fields ◽

Conditional Random Fields

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Surface electromyography and acceleration based Sign Language Recognition using Hidden Conditional Random Fields

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences ◽

10.1109/iecbes.2012.6498025 ◽

2012 ◽

Author(s):

Deen Ma ◽

Xiang Chen ◽

Yun Li ◽

Juan Cheng ◽

Yuncong Ma

Keyword(s):

Sign Language ◽

Random Fields ◽

Surface Electromyography ◽

Conditional Random Fields ◽

Language Recognition ◽

Sign Language Recognition

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Integrating multiple observations for model-based single-microphone speech separation with conditional random fields

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2012.6287866 ◽

2012 ◽

Cited By ~ 4

Author(s):

Yu Ting Yeung ◽

Tan Lee ◽

Cheung-Chi Leung

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Speech Separation ◽

Model Based ◽

Multiple Observations

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A Parallel Conditional Random Fields Model Based on Spark Computing Environment

Journal of Grid Computing ◽

10.1007/s10723-017-9404-4 ◽

2017 ◽

Vol 15 (3) ◽

pp. 323-342 ◽

Cited By ~ 5

Author(s):

Zhuo Tang ◽

Zhongming Fu ◽

Zherong Gong ◽

Kenli Li ◽

Keqin Li

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Computing Environment ◽

Model Based

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A Hybrid Model Based on Inception Network and Conditional Random Fields for SAR Image Segmentation

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) ◽

10.1109/icicsp50920.2020.9232120 ◽

2020 ◽

Author(s):

Yinyin Jiang ◽

Ming Li ◽

Peng Zhang ◽

Xiaofeng Tan ◽

Beibei Li

Keyword(s):

Image Segmentation ◽

Hybrid Model ◽

Random Fields ◽

Conditional Random Fields ◽

Sar Image ◽

Model Based ◽

Sar Image Segmentation

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Unsupervised SAR image segmentation using high-order conditional random fields model based on product-of-experts

Pattern Recognition Letters ◽

10.1016/j.patrec.2016.03.032 ◽

2016 ◽

Vol 78 ◽

pp. 48-55 ◽

Cited By ~ 11

Author(s):

Peng Zhang ◽

Ming Li ◽

Yan Wu ◽

Lin An ◽

Lu Jia

Keyword(s):

Image Segmentation ◽

Random Fields ◽

Conditional Random Fields ◽

High Order ◽

Sar Image ◽

Model Based ◽

Sar Image Segmentation

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Improved Chinese Word Segmentation Disambiguation Model Based on Conditional Random Fields

Proceedings of the 4th International Conference on Computer Engineering and Networks - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-319-11104-9_70 ◽

2015 ◽

pp. 599-605 ◽

Cited By ~ 1

Author(s):

Fanjin Mai ◽

Shitong Wu ◽

Taoshi Cui

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Word Segmentation ◽

Chinese Word ◽

Chinese Word Segmentation ◽

Model Based

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