Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving image retrieval effectiveness in query-by-example environment
Proceedings of the 2003 ACM symposium on Applied computing
Feature selection, L1 vs. L2 regularization, and rotational invariance
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Multi-query interactive image and video retrieval -: theory and practice
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Image retrieval in multipoint queries
International Journal of Imaging Systems and Technology - Multimedia Information Retrieval
Signature-Based Document Image Retrieval
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ranking with local regression and global alignment for cross media retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Signature Detection and Matching for Document Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
Mining Semantic Correlation of Heterogeneous Multimedia Data for Cross-Media Retrieval
IEEE Transactions on Multimedia
Towards a Relevant and Diverse Search of Social Images
IEEE Transactions on Multimedia
Image decomposition via the combination of sparse representations and a variational approach
IEEE Transactions on Image Processing
Complex Object Correspondence Construction in Two-Dimensional Animation
IEEE Transactions on Image Processing
Multi-view hypergraph learning by patch alignment framework
Neurocomputing
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Content-based image retrieval (CBIR) always suffers from the so-called semantic gap. Query-By-Multiple-Examples (QBME) is introduced to bridge it and applied in a lot of CBIR systems. However, current QBME methods usually query with each example separately and combine the query results. In this way, the computational time will increase linearly with the growing number of query examples. In this paper, we propose a novel QBME method for fast image retrieval based on transductive learning framework. To improve the speed of QBME, we introduce two improvements. First, we explore the semantic correlations of image data in the training process. These correlations are learned using sparse representation. With the semantic correlations, semantic correlation hypergraph (SCHG) is constructed to model the images and their correlations. The construction of SCHG is free of any parameter. After constructing SCHG, we predict the ranking values of images by using the pre-learned semantic correlations. Second, we propose a multiple probing strategy to rank the images with multiple query examples. Different from traditional QBME methods which accept one input example at a time, all the input examples are processed at the same time in this strategy. The experimental results demonstrate the effectiveness of the proposed method on both retrieval performance and speed.