The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
As wireless devices become more pervasive, mobile ad hoc networks are gaining importance, motivating the development of highly scalable ad hoc networking techniques. In this paper...
Shu Du, Ahamed Khan, Santashil PalChaudhuri, Ansle...
Users expect future handhelddevices to provide extended multimedia functionality and have long battery life. This type of application imposes heavy constraints on performance and ...
Andy Lambrechts, Praveen Raghavan, Anthony Leroy, ...
— This paper discusses a joint decentralized clustering and ranging algorithm for wireless ad-hoc sensor networks. Each sensor uses a random waiting timer and local criteria to d...