This article proposes a framework that will help analyze current and future output multimodal user interfaces. We first define an output multimodal system. We then present our fram...
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, ...
We are interested in applying and extending existing frameworks for combining output modalities for adaptations of multimodal content on heterogeneous devices based on user and de...
Songsak Channarukul, Susan Weber McRoy, Syed S. Al...
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...