This paper presents a contribution to the large problematic of integrating medical image-based information into a structured framework (such as electronic patient records or anato...
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
Sensor-based services propose to gather, manage, analyze, access and react to sensor data. These services are distributed over heterogeneous platforms. The complexity of the imple...
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
A mirror world, which is a virtual space modeling a physical space, attracts enormous interests from VR community recently. Various applications such as Second Life, Google Earth a...