Deep Learning, Incremental Learning, Computer Vision, Reset, Image Classification.
update at each iteration To compute the null projection matrix P(1:(t-1)), we first need to compute the covariance matrix of feature space X of all the previous tasks as- Computing the covariance matrix, nold is the no of samples in Xold Finally, SVD is applied on Xold and null space Uold is