Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Person re-identification (Re-ID) aims to match identities across non-overlapping camera
views. Researchers have proposed many supervised Re-ID models which require quantities …

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 graph-based semi-supervised learning approaches, the classification rate is highly
dependent on the size of the availabel labeled data, as well as the accuracy of the similarity …

As a postprocessing procedure, diffusion process has demonstrated its ability of
substantially improving the performance of various visual retrieval systems. Whereas, great …

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 …

With the urgent demand for automatic management of large numbers of high-resolution
remote sensing images, content-based high-resolution remote sensing image retrieval (CB …

Diffusion process has advanced visual retrieval greatly owing to its capacity in capturing the
geometry structure of the underlying manifold. Recent studies (Donoser and Bischof 2013) …

Muchos de los métodos de aprendizaje automático dependen del cálculo de distancias en
un espacio multidimensional para estimar la similitud entre dos ejemplos teniendo en …

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