—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Model checking techniques have traditionally dealt with temporal logic languages and automata interpreted over -words, i.e., infinite in the future but finite in the past. However...
Matteo Pradella, Angelo Morzenti, Pierluigi San Pi...
As multicore systems become the dominant mainstream computing technology, one of the most difficult challenges the industry faces is the software. Applications with large amounts ...
Hongtao Zhong, Mojtaba Mehrara, Steven A. Lieberma...