Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
The successful deployment of a security policy is closely related not only to the complexity of the security requirements but also to the capabilities/functionalities of the secur...
A central problem in automatic sound recognition is the mapping between low-level audio features and the meaningful content of an auditory scene. We propose a dynamic network mode...
Maria E. Niessen, Leendert van Maanen, Tjeerd C. A...
Focus+Context techniques are commonly used in visualization systems to provide both the details and the context. The "shaker paradigm", in which an image is rapidly alte...