In this paper, we study the human action classification problem based on motion features directly extracted from video. In order to implement a fast classification system, we select simple features that can be obtained from non-intensive computation. We also introduce the new SVM 2K classifier that can achieve improved performance over a standard SVM by combining two types of motion feature vec...

In the literature, two series of models have been proposed to address prediction problems including classification and regression. Simple models, such as generalized linear models, have ordinary performance but strong interpretability on a set of simple features. The other series, including tree-based models, organize numerical, categorical and high dimensional features into a comprehensive str...

bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...

Structural analysis of remotely sensed data provides a method of assessing the structural significance of regional metallogenesis in the Dehaj area as the northwestern part of the Kerman porphyry Cu belt. This belt is consisted of dominant Eocene volcanics and the Dehaj type subvolcanic intrusives. In the study area, geologically, Cu-mineralization is hosted by the Kuh-e-Panj type subvolcanic i...

Photogrammetric manipulation of imagery has been, for the major part, a point-based operation. The utilization of points remains to be convenient since few manually digitized points can be accurately obtained to carry out various photogrammetric orientation procedures (e.g., relative and absolute orientation as well as photogrammetric triangulation). On the other hand, the constant evolution of...