Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
With the scaling of technology and the need for higher performance and more functionality, power dissipation is becoming a major bottleneck for microprocessor designs. Pipeline ba...
Hai Li, Swarup Bhunia, Yiran Chen, T. N. Vijaykuma...
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
Traditional FPGA design flows have treated logic synthesis and physical design as separate steps. With the recent advances in technology, the lack of information on the physical ...