In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Abstract--This paper presents an approach to the task of locating a group of buildings based solely on their relative spatial relationships. This situation can occur in the problem...
—We investigate the problem of retrieving similar shapes from a large database; in particular, we focus on medical tumor shapes (“Find tumors that are similar to a given patter...
—The increasing availability of location-aware mobile devices has given rise to a flurry of location-based services (LBS). Due to the nature of spatial queries, an LBS needs the...
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...