Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Domestic ubiquitous computing systems often rely on inferences about activities in the home, but the open-ended, dynamic and heterogeneous nature of the home poses serious problem...
William W. Gaver, Phoebe Sengers, Tobie Kerridge, ...