The dissimilarity representation for pattern recognition , a tutorial

This tutorial presents an introduction to the studies undertaken by the authors and their collaborators between 1997 and 2009 on the topic of dissimilarity representations for pattern recognition.

[1]  M. Aizerman,et al.  Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning , 1964 .

[2]  N. JARDINE,et al.  A New Approach to Pattern Recognition , 1971, Nature.

[3]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[4]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[5]  Horst Bunke,et al.  Syntactic and structural pattern recognition : theory and applications , 1990 .

[6]  Horst Bunke,et al.  Applications of approximate string matching to 2D shape recognition , 1993, Pattern Recognit..

[7]  Anil K. Jain,et al.  A modified Hausdorff distance for object matching , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[8]  A. Roli Artificial Neural Networks , 2012, Lecture Notes in Computer Science.

[9]  Anil K. Jain,et al.  Representation and Recognition of Handwritten Digits Using Deformable Templates , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Horst Bunke,et al.  A graph distance metric based on the maximal common subgraph , 1998, Pattern Recognit. Lett..

[11]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[12]  Robert P. W. Duin Relational discriminant analysis and its large sample size problem , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[13]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[14]  Klaus Obermayer,et al.  Classi cation on Pairwise Proximity , 2007 .

[15]  Robert P. W. Duin,et al.  Relational discriminant analysis , 1999, Pattern Recognit. Lett..

[16]  Nello Cristianini,et al.  An introduction to Support Vector Machines , 2000 .

[17]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Robert P. W. Duin,et al.  A Generalized Kernel Approach to Dissimilarity-based Classification , 2002, J. Mach. Learn. Res..

[19]  Shigeo Abe DrEng Pattern Classification , 2001, Springer London.

[20]  Robert P. W. Duin,et al.  Dissimilarity representations allow for building good classifiers , 2002, Pattern Recognit. Lett..

[21]  Tony Jebara,et al.  A Kernel Between Sets of Vectors , 2003, ICML.

[22]  Alexander J. Smola,et al.  Learning with non-positive kernels , 2004, ICML.

[23]  Nello Cristianini,et al.  Kernel Methods for Pattern Analysis , 2004 .

[24]  Bernard Haasdonk,et al.  Feature space interpretation of SVMs with indefinite kernels , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Robert P. W. Duin,et al.  The Dissimilarity Representation for Pattern Recognition - Foundations and Applications , 2005, Series in Machine Perception and Artificial Intelligence.

[26]  Cheng Soon Ong Kernels: Regularization and Optimization , 2005 .

[27]  Robert P. W. Duin,et al.  STATISTICAL PATTERN RECOGNITION , 2005 .

[28]  Robert P. W. Duin,et al.  Dissimilarity-based classification for vectorial representations , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[29]  Horst Bunke,et al.  Non-Euclidean or Non-metric Measures Can Be Informative , 2006, SSPR/SPR.

[30]  Robert P. W. Duin,et al.  Structural Inference of Sensor-Based Measurements , 2006, SSPR/SPR.

[31]  Robert P. W. Duin,et al.  Prototype selection for dissimilarity-based classifiers , 2006, Pattern Recognit..

[32]  Joachim M. Buhmann,et al.  On the information and representation of non-Euclidean pairwise data , 2006, Pattern Recognit..

[33]  Hans Burkhardt,et al.  Invariant kernel functions for pattern analysis and machine learning , 2007, Machine Learning.

[34]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[35]  Robert P. W. Duin,et al.  Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[36]  Robert P. W. Duin,et al.  On refining dissimilarity matrices for an improved NN learning , 2008, 2008 19th International Conference on Pattern Recognition.

[37]  Wan-Jui Lee,et al.  On Euclidean Corrections for Non-Euclidean Dissimilarities , 2008, SSPR/SPR.

[38]  Elzbieta Pekalska,et al.  Indefinite Kernel Fisher Discriminant , 2008, 2008 19th International Conference on Pattern Recognition.

[39]  Elzbieta Pekalska,et al.  Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.