Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
This paper describes the design and implementation of an architecture for interactively viewing static light fields with very low latency. The system was deliberately over enginee...
Matthew J. P. Regan, Gavin S. P. Miller, Steven M....
Channel estimation and multiuser detection are enabling technologies for future generations of wireless applications. However, sophisticated algorithms are required for accurate c...
Yan Meng, Andrew P. Brown, Ronald A. Iltis, Timoth...
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
Aswin C. Sankaranarayanan, Ankur Srivastava, Rama ...
Architectural decisions for DSP modules are often analyzed using high level C models. Such high-level explorations allow early examination of the algorithms and the architectural ...