Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
It has long been recognised that interactivity improves the effectiveness of Information Retrieval systems. Speech is the most natural and interactive medium of communication and ...
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...