Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
State-of-the-art FPGAs possess I/O resources that can be configured to support a wide variety of I/O standards [1]. In such devices, the I/O resources are grouped into banks. One o...
Jason Helge Anderson, Jim Saunders, Sudip Nag, Cha...
Larchant-RDOSS is a distributed shared memory that persists on reliable storage across process lifetimes. Memory management is automatic: including consistent caching of data and ...
Abstract. Indoor location tracking systems have been a major focus of ubiquitous computing research, and they have much promise to help in collecting objective, real time data for ...
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...