As a key part of universal source coding, context quantization is very important for improving compression performance. However, in most existing methods, the quantizer is trained...
New application-focused system-on-chip platforms motivate new application-specific processors. Configurable and extensible processor architectures offer the efficiency of tuned lo...
Albert Wang, Earl Killian, Dror E. Maydan, Chris R...
Power optimization is of growing importance for FPGAs in nanometer technologies. Considering dual-Vdd technique, we show that configurable power supply is required to obtain a sat...
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...