— This paper revisits and extends a general linear programming(LP) formulation to exploit multiple knobs such as multi-Lgate footprint-compatible libraries and post-layout Lgateb...
This paper presents the enhancement of an ASIP’s floating point performance by coupling of a co-processor and adding of special instructions. Processor hardware modifications an...
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...