with the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. tracking people as they move through a camera network with non-overlapping field...

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 ...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...

Real-world networks exhibit prominent hierarchical and modular structures, with various subgraphs as building blocks. Most existing studies simply consider distinct motifs use only their numbers to characterize the underlying network. Although such statistics can be used describe a network model, or even design some algorithms, role of in applications further explored so improve results. In thi...

The existing recommendation model based on a knowledge graph simply integrates the behavior features in user–item bipartite and content graph. However, difference between two feature spaces is ignored. To solve this problem, paper presents new named space fusion (KGRFSF). Specifically, behavioral space, of users items are constructed by extracting from In related to extracted through attention ...