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Model selection plays an important role in cost-sensitive SVM (CS-SVM). It has been proven that the global minimum cross validation (CV) error can be efficiently computed based on the solution path for one parameter learning problems. However, it is a challenge to obtain the global minimum CV error for CS-SVM based on one-dimensional solution path and traditional grid search, because CS-SVM is with...
In spite of decades of research, only a small percentage of hardware is designed using high-level synthesis because of the large gap between the abstraction levels of standard cells and algorithmic level. We propose a grid-based regular physical design platform composed of large grain hardened building blocks called SiLago blocks. This platform is divided into regions which are specialized for different...
In this paper, we propose an efficient and effective there level Design Space Exploration (DSE) method for mapping a system consisting of a number of DSP functions onto an RTL or lower level model using constraint programming methodology. The design space has three dimensions: a) function execution schedule (when the functions should execute), b) function implementation assignment (how the execution...
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