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Annotating large-scale image corpus requires huge amount of human efforts and is thus generally unaffordable, which directly motivates recent development of semi-supervised or active annotation methods. In this paper we revisit this notoriously challenging problem and develop a novel multi-label propagation scheme, whereby both the efficacy and accuracy of(More)
We introduce in this paper a novel approach to multi-label image classification which incorporates a new type of context — label exclusive context — with linear representation and classification. Given a set of exclusive label groups that describe the negative relationship among class labels, our method, namely LELR for Label Exclusive Linear(More)
In recent years, locality-sensitive hashing (LSH) has gained plenty of attention from both the multimedia and computer vision communities due to its empirical success and theoretic guarantee in large-scale visual indexing and retrieval. Conventional LSH algorithms are designated either for generic metrics such as Cosine similarity, &ell;<sub>2</sub>-norm(More)
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract We have successfully experimentally integrated graphene(More)
This paper describes our system for auto search and interactive search in the known-item search (KIS) task in TRECVID 2010. KIS task aims to find an unique video answer for each text query. The shift from traditional video search has prompted a series of challenges in processing and searching techniques that developed over the past few years. For the(More)
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract—Carbon-based nanomaterials such as metallic single-walled carbon(More)
In the past decade, locality-sensitive hashing (LSH) has gained a large amount of attention from both the multimedia and computer vision communities owing to its empirical success and theoretic guarantee in large-scale multimedia indexing and retrieval. Original LSH algorithms are designated for generic metrics such as Cosine similarity, $$\ell _2$$ -norm(More)
To bridge the semantic gap between low level feature and human perception, most of the existing algorithms aim mainly at annotating images with concepts coming from only one semantic space, e.g. cognitive or affective. The naive combination of the outputs from these spaces will implicitly force the conditional independence and ignore the correlations among(More)
BACKGROUND Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients. METHOD We(More)