In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
Digital fingerprinting uniquely labels each distributed copy with user's ID and provides a proactive means to track the distribution of multimedia. Multi-user collusion is a ...
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
This paper describes the design of a peer-to-peer network that supports integrity and confidentiality labeling of shared data. A notion of data ownership privacy is also enforced...
Nathalie Tsybulnik, Kevin W. Hamlen, Bhavani M. Th...