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Kate Smith-Miles: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Rowena Chau, Chung-Hsing Yeh, Kate Smith-Miles
    Fuzzy-neuro Web-Based Multilingual Knowledge Management. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:1229-1238 [Conf]
  2. Clifton Phua, Ross Gayler, Kate Smith-Miles, Vincent Lee
    Communal Detection of Implicit Personal Identity Streams. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:620-625 [Conf]
  3. Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles
    Clustering Massive High Dimensional Data with Dynamic Feature Maps. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:814-823 [Conf]
  4. Kate Smith-Miles
    Meta-Learning: From Classification to Forecasting, to Optimization, and Beyond. [Citation Graph (0, 0)][DBLP]
    ACIS-ICIS, 2007, pp:2- [Conf]
  5. Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
    Automatic Age Estimation Based on Facial Aging Patterns. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:12, pp:2234-2240 [Journal]
  6. Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate Smith-Miles
    A novel Episodic Associative Memory model for enhanced classification accuracy. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:10, pp:1193-1202 [Journal]

  7. Facial Age Estimation by Learning from Label Distributions. [Citation Graph (, )][DBLP]

  8. Adaptive Spike Detection for Resilient Data Stream Mining. [Citation Graph (, )][DBLP]

  9. Facial age estimation by nonlinear aging pattern subspace. [Citation Graph (, )][DBLP]

  10. Face image modeling by multilinear subspace analysis with missing values. [Citation Graph (, )][DBLP]

  11. Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability. [Citation Graph (, )][DBLP]

  12. Adaptive Fusion of Gait and Face for Human Identification in Video. [Citation Graph (, )][DBLP]

  13. A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance. [Citation Graph (, )][DBLP]

  14. Pitfalls in Instance Generation for Udine Timetabling. [Citation Graph (, )][DBLP]

  15. Understanding TSP Difficulty by Learning from Evolved Instances. [Citation Graph (, )][DBLP]

  16. Facial age estimation by multilinear subspace analysis. [Citation Graph (, )][DBLP]

  17. Cross-disciplinary perspectives on meta-learning for algorithm selection. [Citation Graph (, )][DBLP]

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