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Research Article

A Novel Routine analysis in Automatic diagnosis Appreciation of Semi-Supervised Computerization

  • Paper ID 19
  • Volume 2, Issue 1
  • Pages 16-18
  • Published Online: January-February 2022
  • 5 Views
Open Access Peer Reviewed

Authors

  • Pawan Pawan1
  • Gandhi Sidharth2

12Dept. of IT, OM institute of technology & management, Haryana, India.

Article Information

DOI
No DOI
Published Online
January-February 2022
Pages
16-18
Article Type
Research Article
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No DOI available for cross-reference

References

1. Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu, JianminJiang “Semi-Supervised Image-to-Video Adaptation for
Video Action Recognition
2. Mona M. Moussa, Elsayed Hamayed, Magda B. Fayek, Heba A. ElNemr “An Enhanced method for human action recognition”
Journal of Advanced Researchvol-35,2015
3. Y.VamsiKrishna,PallaviS,SaagarikaPS“Semi-SupervisedImage-To-
VideoAdaptationforVideoActionRecognitionUsingSpeededUp-Robust Feature (Surf)” International Journal of Innovative Research
in Science,EngineeringandTechnologyvol-7,2018.
4. DrMPreetha,KMonica,HNivetha,SPriyanka“ASurveyonSemi-SupervisedImagetoVideoAdaptationforVideoActionRecognition”
International Journal for Research in Applied Science andEngineeringTechnologyvol-6 issue II, 2018.
5. AaronF.BobickandJamesW.Davis.Therecognitionofhumanmovementusingtemporal templates. IEEE Transactions on pattern
analysis andmachineintelligence,23(3):257–267,2001.
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