We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Two of the most difficult problems faced by developers of synchronous groupware applications are the handling of multiple session connections and the maintenance of replicated dat...
In this paper we focus on "off-line digit recognition" with anknown scriptor. After presenting two neural recognisers, we evaluate four solutions to combine results obta...
Local coordinate coding has recently been introduced to learning visual feature dictionary and achieved top level performance for object recognition. However, the computational co...
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...