Linear Discrimants
•Images represented as vectors, x1, x2, …. 
•Use these to find hyperplane defined by vector w and w0.
•x is on hyperplane: wTx + w0 = 0.
•Notation: aT = [w0, w1, …].  yT = [1,x1,x2, …]
•So hyperplane is aTy=0.
•A query, q, is classified based on whether
•aTq > 0 or aTq < 0.
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