Factored four way conditional restricted Boltzmann machines for activity recognition
This paper proposes a new learning algorithm for human activity recognition. Its name is factored four way conditional restricted Boltzmann machine (FFW-CRBM). FFW-CRBMs are capable of simultaneous regression and classification. FFW-CRBMs came together with their own training procedure. The training procedure name is sequential Markov chain contrastive divergence.
restricted boltzmann machines activity recognition deep learning