This research explores the interaction of textual and photographic information in document understanding. The problem of performing generalpurpose vision without apriori knowledge...
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
This paper presents a method for automatic multimodal person authentication using speech, face and visual speech modalities. The proposed method uses the motion information to loc...
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...