When considering Support Vector Machine, in an take in multiple inputs. Can each of these inputs be a vector?? What i am trying to say is, can the input be a 2 dimensional vector??
If I understand your question correctly. Yes, SVM can take multiple inputs. My suggestion for handling a vector as a feature would be to expand it out. For example,
x0 = (1,2) x0 = 1 x1 = .4 -----> x1 = 2 x2 = 0 x2 = .4 x3 = 0
If this does not capture all of the characteristics of the vector that are important, then you may want to add other features (like magnitude of the vector) as well.