Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
– The implementation and the fault simulation technique for the highly reliable digital design using two FPGAs under a processor control is presented. Two FPGAs are used for dupl...
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
In this paper, we propose a fast pipeline VLSI architecture for 1D lifting-based discrete wavelet transform (DWT). This design method merges the filtering steps called the predict...
Value prediction is a technique that breaks true data dependences by predicting the outcome of an instruction, and executes speculatively its data-dependent instructions based on ...