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Article
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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Article
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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Article
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 ...
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Chapter and Conference Paper
Visual Re-Ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval
Visual re-ranking has received considerable attention in recent years. It aims to enhance the performance of text-based image retrieval by boosting the rank of relevant images using visual information. Hypergr...
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Chapter and Conference Paper
A Hypergraph-Based Reranking Model for Retrieving Diverse Social Images
With the proliferation of social networks and photo-sharing websites, the need for an effective image retrieval system has become crucial. To match the users’ intents, retrieval results are expected to be not ...
