Page 134 - Data Science Algorithms in a Week
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118 Loris Nanni, Sheryl Brahnam and Alessandra Lumini
Kim, C., & Choi, C.-H. (2007). A discriminant analysis using composite features for
classification problems. Pattern Recognition, 40(11), 2958-2966.
Li, D., Zhu, Y., Wang, Z., Chong, C., & Gao, D. (2016). Regularized matrix-pattern-
oriented classification machine with universum. Neural Processing Letters.
Li, J., Janardan, R., & Li, Q. (2002). Two-dimensional linear discriminant analysis.
Advances in neural information processing systems, 17, 1569-1576.
Lichman, M. (2013). UCI Machine Learning Repository. (http://www.ics.uci.edu/
~mlearn/MLRepository.html). Irvine, CA.
Liu, J., & Chen, S. C. (2006). Non-iterative generalized low rank approximation of
matrices. Pattern Recognition Letters, 27(9), 1002-1008.
Nanni, L. (2011). Texture descriptors for generic pattern classification problems. Expert
Systems with Applications, 38(8), 9340-9345.
Nanni, L., Brahnam, S., & Lumini, A. (2012). Matrix representation in pattern
classification. Expert Systems with Applications, Appl. 39.3, 3031-3036.
Nanni, L., & Lumini, A. (2008). A reliable method for cell phenotype image
classification. Artificial Intelligence in Medicine, 43(2), 87-97.
Ojala, T., Pietikainen, M., & Maeenpaa, T. (2002). Multiresolution gray-scale and
rotation invariant texture classification with local binary patterns. IEEE Transactions
on Pattern Analysis and Machine Intelligence, 24(7), 971-987.
Ojansivu, V., & Heikkila, J. (2008). Blur insensitive texture classification using local
phase quantization. Paper presented at the ICISP.
Seung, D., & Lee, L. (2001). Algorithms for non-negative matrix factorization. Advances
in neural information processing systems, 13, 556-562.
Trafalis, T. B., Ince, H., & Richman, M. B. (2003). Tornado detection with support
vector machines. Paper presented at the International Conerence on Computational
Science, Berlin and Heidelberg.
Wang, H., & Ahuja, N. (2005). Rank-r approximation of tensors using image-as-matrix
representation. Paper presented at the IEEE Computer Society conference on
computer vision and pattern recognition,.
Wang, Z., & Chen, S. C. (2008). Matrix-pattern-oriented least squares support vector
classifier with AdaBoost. Pattern Recognition Letters, 29, 745-753.
Wang, Z., Chen, S. C., Liu, J., & Zhang, D. Q. (2008). Pattern representation in feature
extraction and classification-matrix versus vector. IEEE Transactions on Neural
Networks, 19(758-769).
Weston, J., Collobert, R., Sinz, F., Bottou, L., & Vapnik, V. (2006). Inference with the
universum. Paper presented at the International conference on machine learning.
Yang, J., Zhang, D., Frangi, A. F., & Yang, J. U. (2004). Two-dimension pca: A new
approach to appearance-based face representation and recognition. IEEE
Transactions on Pattern Analysis and Machine Intelligence, 26(1), 131-137.