Hidden Markov Model (HMM)

Predicting whether Baggage Handler 1 or 2 Stole the Bag

A finite set of states, each of which is associated with a probability distribution. Transitions among the states are governed by a set of probabilities called transition probabilities. In a particular state an outcome or observation can be generated, according to the associated probability distribution. It is only the outcome, and not the state,which is visible to an external observer and therefore states are ``hidden'' to the outsiders.
Goals:
Figure out the state sequence given the observed sequence of feature vectors
BrandIdea’s Implementation:
Product Recognition using images