Remote-sensing visual question answering (RSVQA) aims to provide accurate answers remote sensing images and their associated questions by leveraging both textual information during the inference process. However, most existing methods ignore significance of interaction between language features, which typically adopt simple feature fusion strategies fail adequately model cross-modal attention, ...

When data are organized in matrices or arrays of higher dimensions (tensors), classical regression methods first transform these into vectors, therefore ignoring the underlying structure and increasing dimensionality problem. This flattening operation typically leads to overfitting when only few training is available. In this paper, we present a mixture-of-experts model that exploits tensorial ...

We propose a general method for adapting a writerindependent classifier to an individual writer. We employ a mixture of experts formulation, where the classifiers are trained on weighted clusters of writers. The clusters are determined by which experts classify individual writing correctly. The method adapts by choosing the appropriate combination of classifiers for a new user. It applies to an...

We consider an infinite mixture model of Gaussian processes that share mixture components between nonlocal clusters in data. Meeds and Osindero (2006) use a single Dirichlet process prior to specify a mixture of Gaussian processes using an infinite number of experts. In this paper, we extend this approach to allow for experts to be shared non-locally across the input domain. This is accomplishe...

Piecewise behavioral models are commonly adopted for modeling and linearization of RF power amplifiers (PAs) that exhibit strong amplitude-dependent nonlinear distortion characteristics, as global polynomial approximations tend to underperform in such scenarios. In this article, we consider a new piecewise model PAs based on the mixture experts (ME) approach, which builds probabilistic allows d...

Lung cancer is among the most common and deadliest cancers with a low 5-year survival rate. Timely diagnosis of lung is, therefore, paramount importance as it can save countless lives. In this regard, Computed Tomography (CT) scan widely used for early detection cancer, where human judgment currently considered gold standard approach. Recently, there has been surge interest on development autom...