Hessian-regularized co-training for social activity recognition.
Co-training is a major multi-view learning paradigm that alternately trains two classifiers on two distinct views and maximizes the moen rothbury faucet mutual agreement on the two-view unlabeled data.Traditional co-training algorithms usually train a learner on each view separately and then force the learners to be consistent across views.Although