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User evaluation of Físchlár-News: An automatic broadcast news delivery system
Hyowon Lee, Alan F. Smeaton, Noel E. O'connor, Barry Smyth
Technological developments in content-based analysis of digital video information are undergoing much progress, with ideas for fully automatic systems now being proposed and demonstrated. Yet because we do not yet have robust operational video...
A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
We propose a maximal figure-of-merit (MFoM)-learning approach for robust classifier design, which directly optimizes performance metrics of interest for different target classifiers. The proposed approach, embedding the decision functions of...
Enhancing relevance feedback in image retrieval using unlabeled data
Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai
Relevance feedback is an effective scheme bridging the gap between high-level semantics and low-level features in content-based image retrieval (CBIR). In contrast to previous methods which rely on labeled images provided by the user, this article...
iVIBRATE: Interactive visualization-based framework for clustering large datasets
Keke Chen, Ling Liu
With continued advances in communication network technology and sensing technology, there is astounding growth in the amount of data produced and made available through cyberspace. Efficient and high-quality clustering of large datasets continues to...