Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
Abstract. Kanazawa has shown that k-valued classical categorial grammars have the property of finite elasticity [1], which is a sufficient condition for learnability. He has also ...
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...