Is it possible for a trained support vector machine (SVM) to take an input of a different length (say during the testing phase) than the length used when it was trained?
e.g. training data input: vector $\bf x_r \in R^n$ ; test data input: vector $\bf x_t \in R^m$ where $ \bf m \ne\bf n$