Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Cluster-based multi-tier systems provide a means for building scalable Internet services. Building adaptive Internet services that are able to apply appropriate system sizing and ...
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
— We consider challenges associated with application domains in which a large number of distributed, networked sensors must perform a sensing task repeatedly over time. We addres...