Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Analyzing the effectiveness and applicability of co-training
Proceedings of the ninth international conference on Information and knowledge management
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Efficient Simplicial Reconstructions of Manifolds from Their Samples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing Supervised Learning with Unlabeled Data
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
SIAM Journal on Scientific Computing
Usage patterns of collaborative tagging systems
Journal of Information Science
Enhancing relevance feedback in image retrieval using unlabeled data
ACM Transactions on Information Systems (TOIS)
An adaptive graph model for automatic image annotation
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Bipartite graph reinforcement model for web image annotation
Proceedings of the 15th international conference on Multimedia
Graph-Based Semisupervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Proceedings of the 18th international conference on World wide web
What is a complete set of keywords for image description & annotation on the web
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Semi-supervised regression with co-training
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Multimedia - Special issue on integration of context and content
A unified framework for image retrieval using keyword and visual features
IEEE Transactions on Image Processing
Generalized Manifold-Ranking-Based Image Retrieval
IEEE Transactions on Image Processing
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From relevant textual information to improve visual content understanding and representation is an effective way for deeply understanding web image content. However, the description of images is usually imprecise at the semantic level, which is caused by the noisy and redundancy information in both text (such as surrounding text in HTML pages) and visual (such as intra-class diversity) aspects. This paper considers the solution from the association analysis for image content and presents a Bidirectional- Isomorphic Manifold learning strategy to optimize both visual feature space and textual space, in order to achieve more accurate comprehension for image semantics and relationships. To achieve this optimization between two different models, Bidirectional-Isomorphic Manifold Learning utilizes a novel algorithm to unify adjustments in both models together to a topological structure, which is called the reversed Manifold mapping. We also demonstrate its correctness and convergence from a mathematical perspective. Image annotation and keywords correlation analysis are applied. Two groups of experiments are conducted: The first group is carried on the Corel 5000 image database to validate our method's effectiveness by comparing with state-of-the-art Generalized Manifold Ranking Based Image Retrieval and SVM, while the second group carried on a web-downloaded Flickr dataset with over 6,000 images to testify the proposed method's effectiveness in real-world application. The promising results show that our model attains a significant improvement over state-of-the-art algorithms.