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Ji Ming: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Le Quan Ha, Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith
    Extension of Zipf's Law to Words and Phrases. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  2. Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith
    A Dynamic Language Model Based on Individual Word Domains. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:789-794 [Conf]
  3. P. Corr, Darryl Stewart, Philip Hanna, Ji Ming, F. Jack Smith
    Discrete Chebyshev Transform - A Natural Modification of the DCT. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:7154-3255 [Conf]
  4. Peter Jancovic, Ji Ming, Philip Hanna, Darryl Stewart, F. Jack Smith
    Combining Multi-band and Frequency-Filtering Techniques for Speech Recognition in Noisy Environments. [Citation Graph (0, 0)][DBLP]
    TSD, 2000, pp:265-270 [Conf]
  5. Peter O'Boyle, Ji Ming, M. Owens, F. Jack Smith
    Adaptive Parameter Training in an Interpolated N-gram Language Model. [Citation Graph (0, 0)][DBLP]
    Journal of Quantitative Linguistics, 1999, v:6, n:1, pp:10-28 [Journal]
  6. Ji Ming, F. Jack Smith
    Speech recognition with unknown partial feature corruption - a review of the union model. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2003, v:17, n:2-3, pp:287-305 [Journal]
  7. Ji Ming, F. Jack Smith
    Union: a model for partial temporal corruption of speech. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2001, v:15, n:3, pp:217-231 [Journal]
  8. Ji Ming
    Noise compensation for speech recognition with arbitrary additive noise. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Audio, Speech & Language Processing, 2006, v:14, n:3, pp:833-844 [Journal]

  9. A probabilistic union approach to robust face recognition with partial distortion and occlusion. [Citation Graph (, )][DBLP]


  10. Modeling long-range dependencies in speech data for text-independent speaker recognition. [Citation Graph (, )][DBLP]


  11. Maximizing the continuity in segmentation - A new approach to model, segment and recognize speech. [Citation Graph (, )][DBLP]


  12. Robust face recognition with partially occluded images based on a single or a small number of training samples. [Citation Graph (, )][DBLP]


  13. Extending Zipf's law to n-grams for large corpora. [Citation Graph (, )][DBLP]


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