Iterative-improvement 2-way min-cut partitioning is an important phase in most circuit partitioning tools. Most iterative improvement techniques for circuit netlists like the Fidd...
We present methods for training high quality object detectors
very quickly. The core contribution is a pair of fast
training algorithms for piece-wise linear classifiers, which
...
Abstract. Different mutation operators have been proposed in evolutionary programming. However, each operator may be efficient in solving a subset of problems, but will fail in an...
Power estimation is important for system-level exploration and trade-off analysis of VLSI systems. A power estimator for high-speed analog to digital converters that exploits info...
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...