Chistos Faloutsos

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This paper presents a highly scalable and adaptable co-learning framework on multimodal image retrieval and image annotation. The co-learning framework is based on the multiple instance learning theory. While this framework is a general framework that may be used in any specific domains, to evaluate this framework, we apply it to the Berkeley Drosophila ISH(More)
The study of complex social and technological systems, such as organizations, requires a sophisticated approach that accounts for the underlying psychological and sociological principles, communication patterns and the technologies within these systems. Social Network Analysis and link analysis have since inception operated on the cutting edge bringing(More)
We consider the problem of discovering frequent item sets and association rules between items in a large database of transactional databases acquired under uncertainty. A probabilistic database considered here is one in which with each transaction associated is a probability, represents the confidence that the transaction will occur with given associated(More)
Most existing approaches to content-based retrieval rely on query by example or user sketch based on low-level features; these are not suitable for semantic (object level) distinctions. In other approaches, information is classified according to a predefined set of classes and classification is either performed manually or using class-specific algorithms.(More)
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