We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
The dual-tree complex wavelet transform (DT- WT) is known to exhibit better shift-invariance than the conventional discrete wavelet transform. We propose an amplitude-phase represe...
Background: The substitution rates within different nucleotide contexts are subject to varying levels of bias. The most well known example of such bias is the excess of C to T (C ...
Alexander Y. Panchin, Sergey I. Mitrofanov, Andrei...
This paper presents the results of a study of the ownership and reuse of visual media. A survey was administered to 250 social media-savvy respondents to investigate their attitud...
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...