The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
In this paper, we present a logic-based computational model for movement theory in Government and Binding Theory. For that purpose, we have designed a language called DISLOG. DISL...
We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich...
John William Paisley, Aimee Zaas, Christopher W. W...
This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face E...