We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
Abstract— Some of the established approaches to evaluating text clustering algorithms for information retrieval show theoretical flaws. In this paper, we analyze these flaws an...
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
This paper is a personal take on the history of evaluation experiments in information retrieval. It describes some of the early experiments that were formative in our understandin...
Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visuali...
Michelle Chang, John J. Leggett, Richard Furuta, A...