A scalable object location service can enable users to search for various objects in an environment where many small, networked devices are attached to objects. We investigate two...
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
the level of abstraction in system design promises to enable faster exploration of the design space at early stages. While scheduling decision for embedded software has great impa...
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...