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In this paper we show how Grassmann distances and Grassmann kernels can be efficiently used to learn and classify face sequence videos. We propose two new methods, the Grassmann Distance Mutual… (More)
Demographic attribute inference of social networking service (SNS) users is a valuable application for marketing and for targeting advertisements. Several studies have examined Twitter-user gender… (More)
To estimate demographic attributes such as gender and age of social media users from images posted by the users is a challenging problem because the demographic attributes are directly not shown in… (More)
In this paper we propose an alternative approach to the widely-used Bag-of-Features (BoF) for representing and automatically recognizing behaviors or actions in video sequences from sets of local… (More)
We propose an alternative approach to the widely-used Bag-of-Features (BoF) for representing objects in terms of a collection of local features extracted from their images. In this new framework,… (More)
The availability of mobile access has shifted social media use. With that phenomenon, what users shared on social media and where they visited is naturally an excellent resource to learn their… (More)