Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
This paper intends to present a straightforward, extensive, and noise resistant method for efficiently tagging a web query, submitted to a search engine, with proper category label...
The present study utilized the card sorting technique and cluster analysis to define the best information architecture of Web health information for seniors. Sixteen seniors parti...
Sri Hastuti Kurniawan, Panayiotis Zaphiris, R. Dar...
We explore the use of Wikipedia as external knowledge to improve named entity recognition (NER). Our method retrieves the corresponding Wikipedia entry for each candidate word seq...
We present experimental results showing that search for target items in a three-tiered categorization structure (approximately 8 links per page) is faster than a comparable two-ti...