| [1] Gray R M. Vector Quantization. IEEE ASSP Magazine, 1984, 1(2): 4-29
[2] Kohonen T. The Self-Organizing Map. Proc of the IEEE, 1990, 78(9): 1464-1480
[3] Kohonen T. Essentials of the Self-Organizing Map. Neural Networks, 2013, 37(1): 52-65
[4] Lamberti L, Camastra F. Handy: A Real-Time Three Color Glove-Based Gesture Recognizer with Learning Vector Quantization. Expert Systems with Applications, 2012, 39(12): 10489-10494
[5] Bojer T,Hammer B,Schunk D, et al.Relevance Determination in Learning Vector Quantization // Proc of the European Symposium on Artificial Neural Network. Brussels, Belgium, 2001: 271-276
[6] Sato A,Yamada K.Generalized Learning Vector Quantization // Touretzky D, Mozer M, Hasselmo M, eds.Advances in Neural Information Processing Systems.Cambridge,USA: MIT Press, 1995, Ⅷ: 423-429
[7] Qin A K, Suganthan P N. A Novel Kernel Prototype-Based Learning Algorithm // Proc of the 17th International Conference on Pattern Recognition. Cambridge, UK, 2004, IV: 621-624
[8] Qin A K, Suganthan P N. Initialization Insensitive LVQ Algorithm Based on Cost-Function Adaptation. Pattern Recognition, 2005, 38(5): 773-776
[9] Wu K L, Yang M S. Alternative Learning Vector Quantization. Pattern Recognition Journal, 2006, 39(3): 351-362
[10] Seo S,Obermayer K.Soft Learning Vector Quantization.Neural Computation, 2003, 15(7): 1589-1604
[11] Schneider P, Biehl M, Hammer B. Distance Learning in Discriminative Vector Quantization. Neural Computation, 2009, 21(10): 2942-2969
[12] Hammer B, Villmann T.Generalized Relevance Learning Vector Quantization. Neural Networks, 2002, 15(8/9): 1059-1068
[13] Schneider P, Hammer B, Biehl M. Adaptive Relevance Matrices in Learning Vector Quantization. Neural Computation, 2009, 21(12): 3532-3561
[14] Beyer K S, Goldstein J, Ramarkrishnan R.When Is Nearest Neighbor Meaningful? // Proc of the 7th International Conference on Database Theories. London, UK: Springer-Verlag, 1999: 217-235
[15] Sismanis Y, Roussopoulos N. The Dwarf Data Cube Eliminates the High Dimensionality Curse[EB/OL].[2012-11-01]. http://www.cs.umd.edu/Library/TRs/CS-TR-4552/CS-TR-4552.pdf
[16] Hammer B, Strickert M, Villmann T. On the Generalization Ability of GRLVQ Networks. Neural Processing Letters, 2005, 21(2): 109-120 |
2013, Vol. 26 
