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In this paper we introduce a real-time system for action detection. The system uses a small set of robust features extracted from 3D skeleton data. Features are effectively described based on the probability distribution of skeleton data. The descriptor computes a pyramid of sample covariance matrices and mean vectors to encode the relationship between the(More)
Ranking is the central problem for many applications such as web search, recommendation systems, and visual comparison of images. In this paper, the multiple kernel learning framework is generalized for the learning to rank problem. This approach extends the existing learning to rank algorithms by considering multiple kernel learning and consequently(More)
Natural Language Processing (NLP) is the study of making computers understand how humans naturally speak, write, and communicate. Solving NLP problems is of the utmost importance to building a system that can function in the real-world. In NLP, POS (parts-of-speech) tagging is the process of marking up a word in a text as corresponding to a particular part(More)
Ranking is the central problem for many applications such as web search, recommendation systems, and visual comparison of images. In this paper, the multiple kernel learning framework is generalized for the learning to rank problem. This approach extends the existing learning to rank algorithms by considering multiple kernel learning and consequently(More)
Oral-facial-digital syndrome type 1 (OMIM #311200) is an X-linked dominant, developmental disorder. Among the 13 described clinical variants of oral-facial-digital syndrome, oral-facial-digital syndrome type 1 is of significance to dermatologists due to presence of congenital milia and hypotrichosis, not described in other variants. Since(More)
Cheap and readily available storage systems help us gather hundreds of terabytes of data everyday. This information can be analyzed to understand and predict radical human behavior and actions in order to mitigate loss of lives and property. We propose using machine learning method on CCTV, audio, and geotagged Twitter data to identify suspicious persons(More)
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