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i can use this algorithem for face recognition or not ? that is it !
Thanks for your wonderful post about SVM and SMO algorithm. And the svmImproved.m code shows me explicit working mechanism of SMO algorithm.
1. In the line 219, there is statement: x = [x (-W(2)*y(a)-b)/W(1)] , which means : y(a) = ( -W(1)/W(2) )*x - b / W(2) (Am I right about this point? ).
I'm very curious WHY the b has to be divided by -W(2) ?
2. Also when calculating the Ei (line 100) and Ej (line 113), the b value is NOT participated in the function kernel(). I wonder why.
From this material (http://www.cs.iastate.edu/~honavar/smo-svm.pdf ), I found that the absense of b of Ei and Ej do not affect the calculation of alpha[j] because the subtraction.
BUT Ei and Ej also participated in the calculation of b1 and b2. My question is: does the calculation of b affected by the nonofficial Ei and Ej ?
And is there some kind of connection with the -b/W(2) from my former curiosity ?
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