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Erik G. Learned-Miller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lilla Zöllei, Erik G. Learned-Miller, W. Eric L. Grimson, William M. Wells III
    Efficient Population Registration of 3D Data. [Citation Graph (0, 0)][DBLP]
    CVBIA, 2005, pp:291-301 [Conf]
  2. Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth
    Names and Faces in the News. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:848-854 [Conf]
  3. Jerod Weinman, Erik G. Learned-Miller
    Improving Recognition of Novel Input with Similarity. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:308-315 [Conf]
  4. Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller
    Combinatorial Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:30-41 [Conf]
  5. Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
    Building a Classification Cascade for Visual Identification from One Example. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:286-293 [Conf]
  6. Erik G. Learned-Miller, Vidit Jain
    Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood. [Citation Graph (0, 0)][DBLP]
    IPMI, 2005, pp:615-626 [Conf]
  7. Erik G. Learned-Miller, Qifeng Lu, Angela Paisley, Peter Trainer, Volker Blanz, Katrin Dedden, Ralph Miller
    Detecting Acromegaly: Screening for Disease with a Morphable Model. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2006, pp:495-503 [Conf]
  8. Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
    Learning Hyper-Features for Visual Identification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  9. Erik G. Learned-Miller, Parvez Ahammad
    Joint MRI Bias Removal Using Entropy Minimization Across Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  10. Erik G. Learned-Miller, John W. Fisher III
    ICA Using Spacings Estimates of Entropy. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1271-1295 [Journal]
  11. Erik G. Learned-Miller
    Data Driven Image Models through Continuous Joint Alignment. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:2, pp:236-250 [Journal]
  12. David Walker Duhon, Jerod Weinman, Erik G. Learned-Miller
    Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:3034-3040 [Conf]
  13. Joseph DeStefano, Erik G. Learned-Miller
    A Probabilistic Upper Bound on Differential Entropy [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]

  14. Unsupervised Joint Alignment of Complex Images. [Citation Graph (, )][DBLP]

  15. People-LDA: Anchoring Topics to People using Face Recognition. [Citation Graph (, )][DBLP]

  16. Cryptogram Decoding for OCR Using Numerization Strings. [Citation Graph (, )][DBLP]

  17. Context-Sensitive Error Correction: Using Topic Models to Improve OCR. [Citation Graph (, )][DBLP]

  18. Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation. [Citation Graph (, )][DBLP]

  19. Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. [Citation Graph (, )][DBLP]

  20. A discriminative semi-Markov model for robust scene text recognition. [Citation Graph (, )][DBLP]

  21. Nonparametric curve alignment. [Citation Graph (, )][DBLP]

  22. Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. [Citation Graph (, )][DBLP]

  23. Bounding the Probability of Error for High Precision Recognition [Citation Graph (, )][DBLP]

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