Feature selection, mutual information, and the classification of high-dimensional patterns
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[1] Liam Paninski,et al. Estimation of Entropy and Mutual Information , 2003, Neural Computation.
[2] Alfred O. Hero,et al. Image registration methods in high‐dimensional space , 2006, Int. J. Imaging Syst. Technol..
[3] Karol Zyczkowski,et al. Rényi Extrapolation of Shannon Entropy , 2003, Open Syst. Inf. Dyn..
[4] D. Bertsimas,et al. An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability , 1990 .
[5] Juan Manuel Sáez,et al. EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[6] John Krumm,et al. Object recognition with color cooccurrence histograms , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[7] J. Strassmann,et al. A selfish strategy of social insect workers that promotes social cohesion , 1993, Nature.
[8] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[9] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[10] Kari Torkkola,et al. Feature Extraction by Non-Parametric Mutual Information Maximization , 2003, J. Mach. Learn. Res..
[11] Edward R. Dougherty,et al. What should be expected from feature selection in small-sample settings , 2006, Bioinform..
[12] Jesús S. Aguilar-Ruiz,et al. Incremental wrapper-based gene selection from microarray data for cancer classification , 2006, Pattern Recognit..
[13] Robert P. W. Duin,et al. Pairwise feature evaluation for constructing reduced representations , 2007, Pattern Analysis and Applications.
[14] Alex M. Andrew,et al. Object Recognition in Man, Monkey, and Machine , 2000 .
[15] David R. Wolf,et al. Estimating functions of probability distributions from a finite set of samples. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[16] Abdelkader Mokkadem,et al. Estimation of the entropy and information of absolutely continuous random variables , 1989, IEEE Trans. Inf. Theory.
[17] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[18] Loic Boisrobert,et al. Assessment of artery dilation by using image registration based on spatial features , 2005, SPIE Medical Imaging.
[19] R. Hess,et al. Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin. , 2004, Journal of vision.
[20] Georgia D. Tourassi,et al. Estimation of generalized entropies with sample spacing , 2005, Pattern Analysis and Applications.
[21] James Theiler,et al. Online Feature Selection using Grafting , 2003, ICML.
[22] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[23] Mineichi Kudo,et al. Classifier-independent feature selection on the basis of divergence criterion , 2006, Pattern Analysis and Applications.
[24] G. Stolovitzky. Gene selection in microarray data: the elephant, the blind men and our algorithms. , 2003, Current opinion in structural biology.
[25] Philip N. Klein,et al. A randomized linear-time algorithm to find minimum spanning trees , 1995, JACM.
[26] Pavlos Pavlidis,et al. Individualized markers optimize class prediction of microarray data , 2006, BMC Bioinformatics.
[27] Heinrich H. Bülthoff,et al. Object recognition in man, monkey, and machine , 1999 .
[28] Jesper Larsson Träff,et al. A Practical Minimum Spanning Tree Algorithm Using the Cycle Property , 2003, ESA.
[29] Alfred O. Hero,et al. Asymptotic theory of greedy approximations to minimal k-point random graphs , 1999, IEEE Trans. Inf. Theory.
[30] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[31] Claudio Gentile,et al. Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms , 2003, NIPS.
[32] ShyjanMahamud OwenCarmichael. Discriminant Filters For Object Recognition , 2002 .
[33] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Alfred O. Hero,et al. Applications of entropic spanning graphs , 2002, IEEE Signal Process. Mag..
[35] J. Stuart Aitken,et al. Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes , 2005, BMC Bioinformatics.
[36] Reinhard Wolf,et al. Visual pattern recognition in Drosophila involves retinotopic matching , 1993, Nature.
[37] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[38] Danica Kragic,et al. Object recognition and pose estimation using color cooccurrence histograms and geometric modeling , 2005, Image Vis. Comput..