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Hujun Yin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bicheng Li, Hujun Yin
    Face Recognition Based on Support Vector Machine Fusion and Wavelet Transform. [Citation Graph (0, 0)][DBLP]
    CIS (2), 2005, pp:764-771 [Conf]
  2. Hujun Yin, Nigel M. Allinson
    Self-Organised Parameter Estimation and Segmentation of MRF Model-Based Texture Images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:645-649 [Conf]
  3. Yi Wang, Hujun Yin, Li-Zhu Zhou, Zhi-Qiang Liu
    Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:671-678 [Conf]
  4. Richard T. Freeman, Hujun Yin
    Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:123-128 [Conf]
  5. Richard T. Freeman, Hujun Yin
    Topological Tree for Web Organisation, Discovery and Exploration. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:478-484 [Conf]
  6. Carla S. Möller-Levet, Hujun Yin
    Circular SOM for Temporal Characterisation of Modelled Gene Expressions. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:319-326 [Conf]
  7. Carla S. Möller-Levet, Hujun Yin
    Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:1-10 [Conf]
  8. Hujun Yin
    Nonlinear Multidimensional Data Projection and Visualisation. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:377-388 [Conf]
  9. Ben Russell, Hujun Yin, Nigel M. Allinson
    Document Clustering Using the 1 + 1 Dimensional Self-Organising Map. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:154-160 [Conf]
  10. Swapna Sarvesvaran, Hujun Yin
    Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:78-84 [Conf]
  11. Hujun Yin, Israr Hussain
    ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:595-603 [Conf]
  12. Qingfu Zhang, Hujun Yin, Nigel M. Allinson
    A Simplified ICA Based Denoising Method. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:479-482 [Conf]
  13. Lei A. Clifton, Hujun Yin, Yang Zhang
    Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:836-843 [Conf]
  14. Bicheng Li, Hujun Yin
    Face Recognition Using RBF Neural Networks and Wavelet Transform. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2005, pp:105-111 [Conf]
  15. He Ni, Hujun Yin
    Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:504-511 [Conf]
  16. Hujun Yin, Nigel M. Allinson
    On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:291-296 [Conf]
  17. Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Hujun Yin, Olaf Wolkenhauer
    Clustering of unevenly sampled gene expression time-series data. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:49-66 [Journal]
  18. Carla S. Möller-Levet, Hujun Yin
    Modeling and analysis of gene expression time-series based on co-expression. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:4, pp:311-322 [Journal]
  19. Richard T. Freeman, Hujun Yin
    Tree view self-organisation of web content. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:415-446 [Journal]
  20. Thomas McLaughlin, Jennifer A. Siepen, Julian Selley, Jennifer A. Lynch, King Wai Lau, Hujun Yin, Simon J. Gaskell, Simon J. Hubbard
    PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Database-Issue, pp:649-654 [Journal]
  21. Hujun Yin, Nigel M. Allinson
    On the distribution and convergence of feature space in self-organizing maps. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:6, pp:1178-1187 [Journal]
  22. Nigel M. Allinson, Hujun Yin, Klaus Obermayer
    Introduction: new developments in self-organising maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:943-0 [Journal]
  23. Richard T. Freeman, Hujun Yin
    Adaptive topological tree structure for document organisation and visualisation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1255-1271 [Journal]
  24. Michel Haritopoulos, Hujun Yin, Nigel M. Allinson
    Image denoising using self-organizing map-based nonlinear independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:1085-1098 [Journal]
  25. Hujun Yin
    Data visualisation and manifold mapping using the ViSOM. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:1005-1016 [Journal]
  26. Hujun Yin
    On the equivalence between kernel self-organising maps and self-organising mixture density networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:780-784 [Journal]
  27. Emilio Corchado, Bruno Baruque, Hujun Yin
    Boosting Unsupervised Competitive Learning Ensembles. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:339-348 [Conf]
  28. Bruno Baruque, Emilio Corchado, Hujun Yin
    ViSOM Ensembles for Visualization and Classification. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:235-243 [Conf]
  29. Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi Rovira, Javier González
    Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:435-443 [Conf]

  30. Decoding Population Neuronal Responses by Topological Clustering. [Citation Graph (, )][DBLP]

  31. Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series. [Citation Graph (, )][DBLP]

  32. Linear and nonlinear dimensionality reduction for face recognition. [Citation Graph (, )][DBLP]

  33. Time-Series Prediction Using Self-Organising Mixture Autoregressive Network. [Citation Graph (, )][DBLP]

  34. Semi-supervised Growing Neural Gas for Face Recognition. [Citation Graph (, )][DBLP]

  35. Quality of Adaptation of Fusion ViSOM. [Citation Graph (, )][DBLP]

  36. Nonlinear Dimensionality Reduction for Face Recognition. [Citation Graph (, )][DBLP]

  37. Information Preserving Empirical Mode Decomposition for Filtering Field Potentials. [Citation Graph (, )][DBLP]

  38. Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD. [Citation Graph (, )][DBLP]

  39. Connection between Self-Organizing Maps and Metric Multidimensional Scaling. [Citation Graph (, )][DBLP]

  40. Topological clustering of synchronous spike trains. [Citation Graph (, )][DBLP]

  41. Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition. [Citation Graph (, )][DBLP]

  42. Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches. [Citation Graph (, )][DBLP]

  43. Combined Support Vector Novelty Detection for Multi-channel Combustion Data. [Citation Graph (, )][DBLP]

  44. ViSOM for Dimensionality Reduction in Face Recognition. [Citation Graph (, )][DBLP]

  45. Generalized Self-Organizing Mixture Autoregressive Model. [Citation Graph (, )][DBLP]

  46. Multi-user MIMO and adaptive frequency reuse for next-generation mobile broadband networks. [Citation Graph (, )][DBLP]

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