Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
SMI '04 Proceedings of the Shape Modeling International 2004
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Building k Edge-Disjoint Spanning Trees of Minimum Total Length for Isometric Data Embedding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building k-edge-connected neighborhood graph for distance-based data projection
Pattern Recognition Letters
Manifold-ranking based video concept detection on large database and feature pool
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Structure-sensitive manifold ranking for video concept detection
Proceedings of the 15th international conference on Multimedia
Towards a unified approach to document similarity search using manifold-ranking of blocks
Information Processing and Management: an International Journal
Image annotation via graph learning
Pattern Recognition
Ranking on semantic manifold for shape-based 3d model retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Image retrieval using nonlinear manifold embedding
Neurocomputing
Semi-automatic dynamic auxiliary-tag-aided image annotation
Pattern Recognition
Shape-Based Autotagging of 3D Models for Retrieval
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
A multilevel approach for learning from labeled and unlabeled data on graphs
Pattern Recognition
Semi-supervised ranking for document retrieval
Computer Speech and Language
Hypergraph with sampling for image retrieval
Pattern Recognition
Generalized Manifold-Ranking-Based Image Retrieval
IEEE Transactions on Image Processing
Information Sciences: an International Journal
A unified framework for multimodal retrieval
Pattern Recognition
Content based image retrieval via a transductive model
Journal of Intelligent Information Systems
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Manifold-ranking is a powerful method in semi-supervised learning, and its performance heavily depends on the quality of the constructed graph. In this paper, we propose a novel graph structure named k-regular nearest neighbor (k-RNN) graph as well as its constructing algorithm, and apply the new graph structure in the framework of manifold-ranking based retrieval. We show that the manifold-ranking algorithm based on our proposed graph structure performs better than that of the existing graph structures such as k-nearest neighbor (k-NN) graph and connected graph in image retrieval, 2D data clustering as well as 3D model retrieval. In addition, the automatic sample reweighting and graph updating algorithms are presented for the relevance feedback of our algorithm. Experiments demonstrate that the proposed algorithm outperforms the state-of-the-art algorithms.