Title :
Maximum discriminant margin transform of discriminant functions
Author :
Schmieder, Fabian ; Bin Yang
Author_Institution :
Inst. of Signal Process. & Syst. Theor., Univ. of Stuttgart, Stuttgart, Germany
Abstract :
Many current multiclass classification approaches can be described by a set of discriminant functions, where the label of the class with the largest discriminant function is chosen as the best prediction. We develop an affine transform called maximum discriminant margin (MDM), which can use independently estimated discriminant functions to solve multiclass classification problems.
Keywords :
affine transforms; signal classification; MDM; affine transform; discriminant functions; maximum discriminant margin; maximum discriminant margin transform; multiclass classification approaches; multiclass classification problems; Educational institutions; Error analysis; Kernel; Probabilistic logic; Support vector machines; Training; Transforms; Cutting planes; Discriminant functions; Maximal margin; Multiclass classification;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638292