Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
—In this paper, we present a new sketch-based system — KnitSketch, to improve the efficiency of process planning for knitting garments at an early design stage. The KnitSketch...
Traffic monitoring is a critical network operation for the purpose of traffic accounting, debugging or troubleshooting, forensics, and traffic engineering. Existing techniques for...
A popular solution to internet performance problems is the widespread caching of data. Many caching algorithms have been proposed in the literature, most attempting to optimize fo...
Ganesh Santhanakrishnan, Ahmed Amer, Panos K. Chry...