An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents ...
Abstract In this article, we present a comprehensive approach for privacy preserving access control based on the notion of purpose. In our model, purpose information associated wit...
One of the important aspects in digital video applications is spatial and temporal characteristic. A very little progress has been achieved on spatiotemporal modeling of video dat...
Archana M. Rajurkar, R. C. Joshi, Santanu Chaudhar...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...