In order to combine hypertext with database facilities, we show how to extract an effective storage structure from given instance relationships. The schema of the structure recogn...
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
Routing in unstructured peer-to-peer systems relies either on broadcasting (also called flooding) or on routing indices. An approach using routing indices is only scalable if the...
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...