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Ajit Varghese Puthenputhussery

Hi, I'm Ajit & Thanks for visiting my website

I completed my PhD degree in Computer Science from New Jersey Institute of Technology in Summer 2018.
My research interests include Pattern Recognition, Image Processing, Multimedia Retrieval and Web Technologies.
I'm passionate about implementing machine learning algorithms to improve and simplify daily activities. I also love to design, develop and maintain web applications.

Publications

  1. A. Puthenputhussery, Q. Liu, H. Liu, and C. Liu, "Generative and Discriminative Sparse Coding for Image Classification Applications", the IEEE Winter Conference on Applications of Computer Vision (WACV), March 12-14, 2018, Lake Tahoe, NV/CA.
    [Publication Link]   [PDF]
  2. A. Puthenputhussery, Q. Liu, and C. Liu, "Multiple Anthropological Fisher Kernel Framework And its Application to Kinship Verification", the IEEE Winter Conference on Applications of Computer Vision (WACV), March 12-14, 2018, Lake Tahoe, NV/CA.
    [Publication Link]   [PDF]
  3. A. Puthenputhussery, Q. Liu, and C. Liu, A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework And Its Applications to Visual Recognition, IEEE Transactions on Multimedia, 2017.
    [Publication Link]   [PDF]
  4. A. Puthenputhussery, Q. Liu, and C. Liu, Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization, Computer Vision -- ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII, pp. 612-627.
    [Publication Link]   [PDF]
  5. A. Puthenputhussery, and C. Liu, Novel Sparse Kernel Manifold Learner for Image Classification Applications, in Recent Advances in Intelligent Image Search and Video Retrieval, Springer pp. 87-110, 2016. (Book Chapter)
    [Publication Link]  
  6. A. Puthenputhussery, S. Chen, J. Lee, L. Spasovic and C. Liu, Learning and Recognition methods for Image Search and Video Retrieval, in Recent Advances in Intelligent Image Search and Video Retrieval, Springer, pp. 19-40, 2016. (Book Chapter)
    [Publication Link]  
  7. A. Puthenputhussery, Q. Liu and C. Liu, "SIFT flow based genetic fisher vector feature for kinship verification," 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 2921-2925.
    [Publication Link]   [PDF]
  8. A. Puthenputhussery, Q. Liu, and C. Liu, "Color Multi-Fusion Fisher Vector Feature for Fine Art Painting Categorization and Influence Analysis", the IEEE Winter Conference on Applications of Computer Vision, March 7-9, 2016, Lake Placid, New York.
    [Publication Link]   [PDF]
  9. Q. Liu, A. Puthenputhussery, and C. Liu, "A Novel Inheritable Color Space with Application to Kinship Verification", the IEEE Winter Conference on Applications of Computer Vision, March 7-9, 2016, Lake Placid, New York.
    [Publication Link]   [PDF]
  10. Q. Liu, A. Puthenputhussery, and C. Liu, "Inheritable Fisher Vector Feature for Kinship Verification", the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), September 8-11, 2015, Arlington, VA.
    [Publication Link]   [PDF]
  11. Q. Liu, A. Puthenputhussery, and C. Liu, "Novel general KNN classifier and general nearest mean classifier for visual classification", the IEEE International Conference on Image Processing, September 27-30, 2015, Quebec City, Canada.
    [Publication Link]   [PDF]
  12. Q. Liu, A. Puthenputhussery, and C. Liu, "Learning the Discriminative Dictionary for Sparse Representation by a General Fisher Regularized Model", the IEEE International Conference on Image Processing, September 27-30, 2015, Quebec City, Canada.
    [Publication Link]   [PDF]
  13. A.K. Tripathy; R. Carvalho; A. Puthenputhussery; N. Chhabhaiya; B. , "MediAssistEdge — Simplifying diagnosis procedure & improving patient doctor connectivity," the IEEE International Conference on Technologies for Sustainable Development (ICTSD), 2015 , vol., no., pp.1,6, 4-6 Feb. 2015
    [Publication Link]   [PDF]

Experience

Positions Held

Honors & Awards

Projects

Resume

You can view my resume for your reference and I hope that we will meet very soon! :)

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