In this paper we revisit diffusion processes on affinity graphs for capturing the intrinsic
manifold structure defined by pairwise affinity matrices. Such diffusion processes have …

In this paper, we propose an extremely efficient algorithm for visual re-ranking. By
considering the original pairwise distance in the contextual space, we develop a feature …

We propose a novel shape descriptor for matching and recognizing 2D object silhouettes.
The contour of each object is represented by a fixed number of sample points. For each …

This paper proposes a new method of content based medical image retrieval through
considering fused, context-sensitive similarity. Firstly, we fuse the semantic and visual …

In Content-based Image Retrieval (CBIR) systems, ranking accurately collection images is of
great relevance. Users are interested in the returned images placed at the first positions …

Performing effective image retrieval tasks, capable of exploiting the underlying structure of
datasets still constitutes a challenge research scenario. This paper proposes a novel …

Shape matching and retrieval have been some of the fundamental topics in computer vision.
Object shape is a meaningful and informative cue in object recognition, where an effective …

Abstract Content-based Image Retrieval (CBIR) systems consider only a pairwise analysis,
ie, they measure the similarity between pairs of images, ignoring the rich information …

In the past few years, the research studies in image-based shape representation have been
proliferating due to its usefulness and importance for various application. This field has been …

Knowing the type of an uncharacterized membrane protein often provides a useful clue in
both basic research and drug discovery. With the explosion of protein sequences generated …