Selection of ICA Features for Texture Classification
暂无分享,去创建一个
[1] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[2] Hanqing Lu,et al. Texture representation based on pattern map , 2004, Signal Process..
[3] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[4] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[5] Michael Unser,et al. Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..
[6] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[7] Aapo Hyvärinen,et al. A Fast Fixed-Point Algorithm for Independent Component Analysis , 1997, Neural Computation.
[8] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[9] Nicolai Petkov,et al. Comparison of texture features based on Gabor filters , 2002, IEEE Trans. Image Process..
[10] E. Oja,et al. Sparse code shrinkage for image denoising , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[11] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[12] Robert Jenssen,et al. ICA FILTER BANK FOR SEGMENTATION OF TEXTURED IMAGES , 2003 .
[13] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[14] Nostrand Reinhold,et al. the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York. , 1991 .
[15] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[16] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..