We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
In Virtual Environments (VE), users are often facing tasks that involve direct manipulation of virtual objects at close distances, such as touching, grabbing, placement. In immers...
Andrei Sherstyuk, Arindam Dey, Christian Sandor, A...
In this paper we describe a new hardware/software partitioning approach for embedded reconfigurable architectures consisting of a general-purpose processor (CPU), a dynamically re...
Yanbing Li, Tim Callahan, Ervan Darnell, Randolph ...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...