Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
Abstract. Following the translation validation approach to highassurance compilation, we describe a new algorithm for validating a posteriori the results of a run of register alloc...
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under ch...
Abstract. In this paper, a computational model of a successful negotiated communication system is presented, in which language agents develop their own meanings in response to thei...