Relevance feedback (RF) is an effective approach to bridge the gap between low-level
visual features and high-level semantic meanings in content-based image retrieval (CBIR) …

NFC is one of the most promising technologies in handsets for business applications like
ticketing or payment. Actually those applications require a secure store for kee** sensitive …

similarity ranking is one of the keys of a content-based image retrieval (CBIR) system.
Among various methods, manifold ranking (MR) is popular for its application to relevance …

Manifold ranking (MR), as a powerful semi-supervised learning algorithm, plays an
important role to deal with the relevance feedback problem in content-based image retrieval …

Graph-based similarity ranking plays a key role in improving image retrieval performance. Its
current trend is to fuse the ranking results from multiple feature sets, including textual …

One of the challenges in image search is to learn with few labeled examples. Existing
solutions mainly focus on leveraging either unlabeled data or query logs to address this …

Combining manifold ranking with active learning (MRAL for short) is one popular and
successful technique for relevance feedback in content-based image retrieval (CBIR) …

The semantic gap between the digital image representation and the user's image
understanding is still a big problem. In our work we try to reduce this semantic gap in a field …

Com o crescente aumento de coleções de imagens resultantes da popularização da
Internet e das câmeras digitais, métodos eficientes de busca tornam-se cada vez mais …

Manifold Ranking (MR) is one popular and successful technique for relevance feedback in
content-based image retrieval (CBIR). However, existing MR methods have two main …