We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Time series representations are common in MIR applications such as query-by-humming, where a sung query might be represented by a series of ‘notes’ for database retrieval. Whi...
Norman H. Adams, Mark A. Bartsch, Jonah Shifrin, G...
We examine the issues of combining multiple query representations in a single IR engine. Differing query representations are used to retrieve different documents. Thus, when combi...
Abdur Chowdhury, Steven M. Beitzel, Eric C. Jensen
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...