Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
We propose a new computer vision approach to locate a walking pedestrian by a camera image of first-person vision in practical situation. We assume reference points have been regi...
Recent approaches of graph comparison consider graphs as sets of paths [6, 5]. Kernels on graphs are then computed from kernels on paths. A common strategy for graph retrieval is ...