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Adaptive weighted least squares regression for subspace clustering
In this research paper, we consider the subspace clustering problem which aims at finding a low-dimensional representation of a high-dimensional data set. In particular, our central focus is upon the least squ...
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Hypergraph-based image search reranking with elastic net regularized regression
Image search reranking is emerging as an effective technique to refine the text-based image search results using visual information. In this paper, we introduce a novel hypergraph-based image search reranking ...
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Hypergraph learning with collaborative representation for image search reranking
Image search reranking has received considerable attention in recent years. It aims at refining the text-based image search results by boosting the rank of relevant images. Hypergraph has been widely used for ...