Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis
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Zhihui Li | Lina Yao | Sen Wang | Bela Stantic | Forough Rezaei Boroujeni | Nicholas West | Guodong Long | Guodong Long | Lina Yao | Sen Wang | B. Stantic | Zhihui Li | Nicholas West
[1] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[2] C. R. Rao,et al. The Utilization of Multiple Measurements in Problems of Biological Classification , 1948 .
[3] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[4] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[5] M. Loog. Approximate Pairwise Accuracy Criteria for Multiclass Linear Dimension Reduction: Generalisations of the Fisher Criterion , 1999 .
[6] J. Welsh,et al. Molecular classification of human carcinomas by use of gene expression signatures. , 2001, Cancer research.
[7] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[8] E. Lander,et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[9] Robert P. W. Duin,et al. Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[10] T. Golub,et al. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. , 2003, Cancer research.
[11] D. Edwards. Data Mining: Concepts, Models, Methods, and Algorithms , 2003 .
[12] R. Abseher,et al. Microarray gene expression profiling of B-cell chronic lymphocytic leukemia subgroups defined by genomic aberrations and VH mutation status. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[13] Dacheng Tao,et al. Harmonic mean for subspace selection , 2008, 2008 19th International Conference on Pattern Recognition.
[14] Feiping Nie,et al. Trace Ratio Criterion for Feature Selection , 2008, AAAI.
[15] Xuelong Li,et al. Geometric Mean for Subspace Selection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[17] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[18] Dacheng Tao,et al. Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Nong Sang,et al. Fractional-step max-min distance analysis for dimension reduction , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[20] Yi Yang,et al. A Convex Formulation for Semi-Supervised Multi-Label Feature Selection , 2014, AAAI.
[21] Jun Guo,et al. Max-K-Min Distance Analysis for Dimension Reduction , 2014, 2014 22nd International Conference on Pattern Recognition.
[22] Feiping Nie,et al. Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK) , 2014, ECML/PKDD.
[23] Verónica Bolón-Canedo,et al. Novel feature selection methods for high dimensional data , 2014 .
[24] Ying Wu,et al. Heteroscedastic max-min distance analysis , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Nong Sang,et al. Regularized max-min linear discriminant analysis , 2017, Pattern Recognit..
[26] Zhihui Li,et al. Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis , 2017, IEEE Transactions on Knowledge and Data Engineering.
[27] Xiaojun Chang,et al. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks , 2014, IEEE Transactions on Neural Networks and Learning Systems.