Implement the winnow algorithm and use it learn weight for w0 (for bias), w1 and w2 and w3 for x1 , x2 and x3 for the following Boolean function:   Please include all steps for using the algoritm   X1 X2 X3 Y 0 0 0 0 1 1 0 1 0 1 0 0 0 0 1 0 0 1 1 1 1 0 1 1 1 1 1 0

Show the content of a, and b, at the end of each iteration of Euclid's algorithm (version with while-loop), where a, b = 24, 33. Use one line per iteration.

Recursive filtering techniques are often used to reduce the computational complexity of a repeated operation such as filtering. If an image filter is applied to each location in an image, a (horizontally) recursive formulation of the filtering operation expresses the result at location (x +1, y) in terms of the previously computed result at location (x, y). A box convolution filter, B, which has coefficients equal to one inside a rectangular win- dow, and zero elsewhere is given by: w-1h-1 B(r, y,w, h) = ΣΣΤ+ i,y + ) i=0 j=0 where I(r, y) is the pixel intensity of image I at (x, y). We can speed up the computation of arbitrary sized box filters using recursion as described above. In this problem, you will derive the procedure to do this. (a) The function J at location (x,y) is defined to be the sum of the pixel values above and to the left of (x,y), inclusive: J(r, y) = - ΣΣ14.0 i=0 j=0 Formulate a recursion to compute J(r, y). Assume that I(r, y) = 0 if r <0 or y < 0. Hint: It may be…