Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
As multi-core microprocessors are becoming widely adopted, the need to extract thread-level parallelism (TLP) from single-threaded applications in a seamless fashion increases. In...
Md. Mafijul Islam, Alexander Busck, Mikael Engbom,...
Growth in the complexity of computing systems, in the dynamism of the environments they operate in, and the need for timely adaptations as conditions change, now pose significant...
With the explosive emerged Web services, the Web becomes a world of information and applications. So portals whose goal is presenting a structured view onto the Web should provide ...
Jian Zhou, Yong Yu, Lei Zhang, Chenxi Lin, Yin Yan...
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....