Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Air pollution, traffic congestion, stress and accidents are common features of today’s road transportation experience. New approaches to improving the efficiency and safety of t...
Vinny Cahill, Aline Senart, Douglas C. Schmidt, St...
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
Fault localization is a major activity in software debugging. Many existing statistical fault localization techniques compare feature spectra of successful and failed runs. Some a...
Peifeng Hu, Zhenyu Zhang, Wing Kwong Chan, T. H. T...
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...