This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Abstract. Caching data reduces user-perceived latency and often enhances availability in case of server crashes or network failures. DB caching aims at local processing of declarat...
We present Opal, a light-weight framework for interactively locating missing web pages (http status code 404). Opal is an example of “in vivo” preservation: harnessing the col...
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Sensors networks instrument the physical space using motes that run network embedded programs thus acquiring, processing, storing and transmitting sensor data. The motes commercial...