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Document re-ranking using cluster validation and label propagation

Lingpeng Yang, Donghong Ji, Guodong Zhou, Yu Nie, Guozheng Xiao
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
Then the ranking of the documents can be conducted via label propagation.  ...  This paper proposes a novel document re-ranking approach in information retrieval, which is done by a label propagationbased semi-supervised learning algorithm to utilize the intrinsic structure underlying  ...  Label Propagation-based Document Re-ranking In the label propagation algorithm, the manifold structure in X is represented as a connected graph and the label information of any vertex in the graph is propagated  ... 
doi:10.1145/1183614.1183713 dblp:conf/cikm/YangJZNX06 fatcat:checcs6atrgulfrh23lxt4hz6m

Collaborative Similarity Metric Learning for Semantic Image Annotation and Retrieval

2013 KSII Transactions on Internet and Information Systems  
The similarity metric is learned by simultaneously optimizing the 1) image ranking using structural SVM (SSVM), and 2) image annotation using correlated label propagation, with respect to the similarity  ...  The learned similarity metric, fully exploiting the available information of datasets, would improve the two collaborative components, ranking and annotation, and sequentially the retrieval system itself  ...  function for ranking (using structural SVM) and annotation (using correlated label propagation) with respect to similarity metric.  ... 
doi:10.3837/tiis.2013.05.018 fatcat:furb3ddmezhxdm5mgxmlzo6ksy

Semantic clusters based manifold ranking for image retrieval

Ran Chang, Xiaojun Qi
2011 2011 18th IEEE International Conference on Image Processing  
We propose a novel weighted manifold-ranking based image retrieval method to improve the effectiveness of traditional manifold methods.  ...  Our system ensures to propagate the labels in the relevance vector to the images with high reliability scores and discriminately spread the ranking scores of positive and negative images via the weighted  ...  [3] propose the manifold ranking based image retrieval (MRBIR) algorithm to represent images and their relationships as a graph and propagate labeled information among images according to the graph  ... 
doi:10.1109/icip.2011.6116133 dblp:conf/icip/ChangQ11 fatcat:bfenevvchrcevhlanmxzhwocle

Learning a weighted semantic manifold for content-based image retrieval

Ran Chang, Zhongmiao Xiao, KokSheik Wong, Xiaojun Qi
2012 2012 19th IEEE International Conference on Image Processing  
We propose a novel weighted semantic manifold ranking system for content-based image retrieval.  ...  We finally create an asymmetric relevance vector to propagate positive and negative labels via the proposed manifold structure to images with high similarities.  ...  [2] propose the generalized manifold ranking based image retrieval algorithm (gMRBIR) to represent image relationships as a graph and propagate labeled information among images using the graph structure  ... 
doi:10.1109/icip.2012.6467381 dblp:conf/icip/ChangXWQ12 fatcat:fezckhwzk5csbjamefp7sopsei

Manifold-Ranking-Based Keyword Propagation for Image Retrieval

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
2006 EURASIP Journal on Advances in Signal Processing  
In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm.  ...  In relevance feedback, the feedback information can be naturally incorporated to refine the retrieval result by additional propagation processes.  ...  In this paper, we propose a novel method to support keyword propagation for image retrieval based on a recently developed manifold ranking algorithm [19, 20] .  ... 
doi:10.1155/asp/2006/79412 fatcat:ygiq42upzzh2bmtahqssox3ozu

Medical Image Retrieval with Relevance Feedback via Pairwise Constraint Propagation

2014 KSII Transactions on Internet and Information Systems  
In this paper, we propose an interactive medical image search framework based on pairwise constraint propagation.  ...  The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold.  ...  Acknowledgement The authors would like to thank TM Deserno, Dept. of Medical Informatics, RWTH Aachen, Germany, for providing the medical image databases used in the experiments.  ... 
doi:10.3837/tiis.2014.01.015 fatcat:ow4vpvnninh5pfrmbkxmrc7urm

An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers

Marija Ušćumlić, Ricardo Chavarriaga, José del R. Millán, Michael J. Proulx
2013 PLoS ONE  
Previously, the iterations were used to improve the set of EEG-based image labels before propagating them to the unseen images for the final retrieval.  ...  This is done by propagating the EEG-based labels of the presented images at each iteration to the rest of images in the database.  ...  (D) Average precision of the 200 top ranked images obtained by propagating only the harden EEG-based labels obtained for the last seen sequence; (E) Average precision of the 200 retrieved images using  ... 
doi:10.1371/journal.pone.0072018 pmid:23977196 pmcid:PMC3748021 fatcat:7uoxujog35allpkkesjd2c6ww4

Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization

Jung Eun Shim, Sohyun Hwang, Insuk Lee, Enrique Hernandez-Lemus
2015 PLoS ONE  
Because network-based gene prioritization algorithms are based on propagating information of known phenotype-associated genes through networks, the pathway structure of each phenotype might significantly  ...  A network-based approach has proven useful for the identification of novel genes associated with complex phenotypes, including human diseases.  ...  Among various implementations of GS algorithm, we used GeneMANIA label propagation algorithm [9] .  ... 
doi:10.1371/journal.pone.0130589 pmid:26091506 pmcid:PMC4474432 fatcat:6dyoukfm2rgalm4ij6lt5jqn3i

A Scalable Graph-Based Semi-Supervised Ranking System for Content-Based Image Retrieval

Xiaojun Qi, Ran Chang
2013 International Journal of Multimedia Data Engineering and Management  
The authors propose a scalable graph-based semi-supervised ranking system for image retrieval.  ...  These vectors are fused to propagate relevance scores of labeled images to unlabeled images.  ...  The small portion of vertices carrying seed labels (e.g., the users' RF information) are then harnessed via information propagation to predict the labels of the unlabeled vertices (images).  ... 
doi:10.4018/ijmdem.2013100102 fatcat:c4b76naaejhyhcwxghskmk7lte

A memory learning framework for effective image retrieval

J. Han, K.N. Ngan, Mingjing Li, Hong-Jiang Zhang
2005 IEEE Transactions on Image Processing  
One important advantage of our framework is its ability to efficiently annotate images and also propagate the keyword annotation from the labeled images to unlabeled images.  ...  Most current content-based image retrieval systems are still incapable of providing users with their desired results.  ...  Then, the label is propagated to other images with similar patches of texture. In [30] , Saber and Tekalp provided an image retrieval and annotation propagation framework based on regions.  ... 
doi:10.1109/tip.2004.841205 pmid:15825485 fatcat:paek7dgbybdzthyszzvtzjhd2a

Propagating Ranking Functions on a Graph: Algorithms and Applications

Buyue Qian, Xiang Wang, Ian Davidson
We illustrate the usefulness of the idea of propagating ranking functions and our method by exploring two real world applications.  ...  To address this, we propose to construct a graph where each node corresponds to a retrieval task, and then propagate ranking functions on the graph.  ...  Learning to rank approaches have shown to be useful in many information retrieval applications.  ... 
doi:10.1609/aaai.v29i1.9451 fatcat:pfoxigs6xnbappabxhizmxgqhu

Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval

S.-H. FENG, D. XU, B. LI
2008 IEICE transactions on information and systems  
Experimental results demonstrate that the proposed approach shows the satisfactory retrieval performance compared to the global-based and the block-based manifold-ranking methods.  ...  Song-He FENG•õa), Student Member, De XU•õb), Member, and Bing LI•õc), Student Member SUMMARY The manifold-ranking algorithm has been successfully adopted in content-based image retrieval (CBIR) in recent  ...  which are attainable during the training stage. [4] takes each image as a vertex in a weighted graph and propagates the ranking score of labeled examples by using the manifold-ranking algorithm, which  ... 
doi:10.1093/ietisy/e91-d.8.2203 fatcat:tciwxcprhnbfvdrdwurixjz5gi

An Efficient Text Clustering Approach using Biased Affinity Propagation

Isha Sharma, Mahak Motwani
2014 International Journal of Computer Applications  
Based on an effective clustering algorithm Seeds affinity propagation-in this paper an efficient clustering approach is presented which uses one dimension for the group of the words representing the similar  ...  After creating the vector the clustering is performed using seedsaffinity clustering technique.  ...  Cluster-based retrieval is based on the hypothesis that similar documents will match the same information needs In document-based retrieval, an information retrieval (IR) system matches the query against  ... 
doi:10.5120/16755-6273 fatcat:fabchdoqz5e65lv25r2ysl5jqe

A hierarchical manifold subgraph ranking system for content-based image retrieval

Ran Chang, Xiaojun Qi
2013 2013 IEEE International Conference on Multimedia and Expo (ICME)  
We present a novel hierarchical manifold subgraph ranking system for content-based image retrieval (CBIR).  ...  These asymmetric vectors are further used to propagate relevance scores of labeled images to unlabeled images via hierarchical manifold subgraphs.  ...  [7] propose the manifold ranking based image retrieval (gMRBIR) algorithm to represent images and their relationships as a graph and propagate labeled information among images via the graph structure  ... 
doi:10.1109/icme.2013.6607466 dblp:conf/icmcs/ChangQ13 fatcat:uts2tcgo2fht7lqeptle4hw3pa

Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval [chapter]

Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang
2004 Lecture Notes in Computer Science  
For each keyword, a statistical model is trained offline based on visual features of a small set of manually labeled images and used to propagate the keyword to other unlabeled ones.  ...  In this paper, a relevance feedback scheme for both keyword and visual feature-based image retrieval is proposed.  ...  L i F s is a little better than that of using the visual features. This means that if only the labeling information is used without propagation, the improvement of performance is marginal.  ... 
doi:10.1007/978-3-540-27814-6_52 fatcat:wfookfdfufbdpmm6b5cszvzcbe
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