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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]