Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...