TY  - BOOK
AU  - Khaled Saeed SaadZaghloul Aliy Refaat
AU  - Amir Fouad Atiya , 
TI  - The sopport vector machined kernel : : Towards a new classification framework / 
PY  - 2010///
CY  - Cairo : 
PB  - Khaled Saeed SaadZaghloul Aliy Refaat , 
KW  - Kernel
KW  - Similarity
KW  - Support vector machine
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering; Issued also as CD
N2  - We propose the so-called "SVM'ed -kernel function" and its use in SVM classification problems . This kernel function is itself a support vector machine classifier that is learned statistically from the data . We show that the new kernel manages to change the classical methodology of defining a feature vector for each pattern . One will only need to define features representing the similarity beteen two patterns allowing many details to be captured in a concise way
UR  - http://172.23.153.220/th.pdf
ER  -