Combining Dissimilarities for Three-Way Data Classification

Resumen en: The representation of objects by multidimensional arrays is widely applied in many research areas. Nevertheless, there is a lack of tools to classify dat...

[1]  Robert P. W. Duin,et al.  The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure , 2010, SSPR/SPR.

[2]  Roberto Todeschini,et al.  Classification of multiway analytical data based on MOLMAP approach. , 2007, Analytica chimica acta.

[3]  Robert P. W. Duin,et al.  Dissimilarity-based classification of spectra: computational issues , 2003, Real Time Imaging.

[4]  Jiri Matas,et al.  On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Wan-Jui Lee,et al.  A Study on Combining Sets of Differently Measured Dissimilarities , 2010, 2010 20th International Conference on Pattern Recognition.

[6]  Robert P. W. Duin,et al.  The Representation of Chemical Spectral Data for Classification , 2009, CIARP.

[7]  Robert P. W. Duin,et al.  On Combining Dissimilarity Representations , 2001, Multiple Classifier Systems.

[8]  Robert P. W. Duin,et al.  On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition , 2007, Canadian Conference on AI.

[9]  Subhash C. Bagui,et al.  Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.

[10]  Jana Sáde Cká,et al.  Fluorescence Spectroscopy and Chemometrics in the Food Classification − a Review , 2007 .

[11]  R. Duin,et al.  The dissimilarity representation for pattern recognition , a tutorial , 2009 .

[12]  Theodoros Damoulas,et al.  Pattern Recognition , 1998, Encyclopedia of Information Systems.

[13]  Robert P. W. Duin,et al.  DISSIMILARITY-BASED CLASSIFICATION OF SEISMIC SIGNALS AT NEVADO DEL RUIZ VOLCANO , 2006 .

[14]  Luis Alvarez,et al.  Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications , 2012, Lecture Notes in Computer Science.

[15]  R. Bro,et al.  Multiblock variance partitioning: a new approach for comparing variation in multiple data blocks. , 2008, Analytica chimica acta.

[16]  P. Kroonenberg.  Applied Multiway Data Analysis , 2008 .

[17]  Khalid Benjelloun,et al.  Discrimination of Seismic Signals Using Artificial Neural Networks , 2005, WEC.