In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
—Effective three-dimensional streamline placement and visualization plays an essential role in many science and engineering disciplines. The main challenge for effective streamli...
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Error-tolerance is an innovative way to enhance the effective yield of IC products. Previously a test methodology based on error-rate estimation to support error-tolerance was pro...