The ability of robots to quickly and accurately localize their neighbors is extremely important for robotic teams. Prior approaches typically rely either on global information prov...
Paul M. Maxim, Suranga Hettiarachchi, William M. S...
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
In this paper, we focus on performing LSI on very low SVD dimensions. The results show that there is a nearly linear surface in the local query region. Using low-dimensional LSI o...
—The widespread use of tracking and localization systems may be hindered by centralized server platforms whose performance can hardly scale up to the needs of very large numbers ...
Marco Picone, Michele Amoretti, Francesco Zanichel...
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...