One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
— Test-access mechanisms (TAMs) and test wrappers (e.g., the IEEE Standard 1500 wrapper) facilitate the modular testing of embedded cores in a core-based system-on-chip (SOC). Su...
As the scale of system integration continues to grow, the on-chip communication becomes the ultimate bottleneck of system performance and the primary determinant of system archite...
We describe heterogeneous multi-CPU and multi-GPU implementations of Jacobi’s iterative method for the 2-D Poisson equation on a structured grid, in both single- and doublepreci...