A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
— In this paper, we propose an efficient model order reduction (MOR) algorithm, called MTermMOR, for modeling interconnect circuits with large number of external ports. The prop...
Pu Liu, Sheldon X.-D. Tan, Bruce McGaughy, Lifeng ...
—Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area monitor and wide-are...
Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoor...
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...