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Alexander G. Gray: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray L. Buntine
    Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:673-680 [Conf]
  2. Alexander G. Gray, Andrew W. Moore
    `N-Body' Problems in Statistical Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:521-527 [Conf]
  3. Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
    Dual-Tree Fast Gauss Transforms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  4. Ting Liu, Andrew W. Moore, Alexander G. Gray
    Efficient Exact k-NN and Nonparametric Classification in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  5. Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang
    An Investigation of Practical Approximate Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  6. Colin P. Williams, Alexander G. Gray
    Automated Design of Quantum Circuits. [Citation Graph (0, 0)][DBLP]
    QCQC, 1998, pp:113-125 [Conf]
  7. Alexander G. Gray, Andrew W. Moore
    Nonparametric Density Estimation: Toward Computational Tractability. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  8. Ting Liu, Andrew W. Moore, Alexander G. Gray
    New Algorithms for Efficient High-Dimensional Nonparametric Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1135-1158 [Journal]
  9. Dongryeol Lee, Alexander G. Gray
    Faster Gaussian Summation: Theory and Experiment. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  10. Fast euclidean minimum spanning tree: algorithm, analysis, and applications. [Citation Graph (, )][DBLP]


  11. Ultrafast Monte Carlo for Statistical Summations. [Citation Graph (, )][DBLP]


  12. QUIC-SVD: Fast SVD Using Cosine Trees. [Citation Graph (, )][DBLP]


  13. Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. [Citation Graph (, )][DBLP]


  14. FuncICA for Time Series Pattern Discovery. [Citation Graph (, )][DBLP]


  15. Non-negative Matrix Factorization, Convexity and Isometry. [Citation Graph (, )][DBLP]


  16. Non-Negative Matrix Factorization, Convexity and Isometry [Citation Graph (, )][DBLP]


  17. Learning Isometric Separation Maps [Citation Graph (, )][DBLP]


  18. Generative and Latent Mean Map Kernels [Citation Graph (, )][DBLP]


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