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ORCID6th ICDM 2006: Hong Kong, China
- Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China. IEEE Computer Society 2006, ISBN 0-7695-2701-9
Invited Papers
- Tomaso A. Poggio:
Neuroscience: New Insights for AI? 3-8 - Raghu Ramakrishnan:
Exploratory Mining in Cube Space. 6 - Weixiong Zhang
:
Data Mining Methods for Modeling Gene Expression Regulation and Their Applications. 7
Regular Papers
- Shin Ando, Einoshin Suzuki:
An Information Theoretic Approach to Detection of Minority Subsets in Database. 11-20 - Tomohiro Ando:
Bayesian State Space Modeling Approach for Measuring the Effectiveness of Marketing Activities and Baseline Sales from POS Data. 21-32 - Maria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
Learning to Use a Learned Model: A Two-Stage Approach to Classification. 33-42 - Korinna Bade, Eyke Hüllermeier, Andreas Nürnberger:
Hierarchical Classification by Expected Utility Maximization. 43-52 - Eric Bae, James Bailey:
COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity. 53-62 - Ziv Bar-Yossef, Ido Guy, Ronny Lempel, Yoëlle S. Maarek, Vladimir Soroka:
Cluster Ranking with an Application to Mining Mailbox Networks. 63-74 - Stephen Bay, Krishna Kumaraswamy, Markus G. Anderle, Rohit Kumar, David M. Steier:
Large Scale Detection of Irregularities in Accounting Data. 75-86 - Mikhail Bilenko, Beena Kamath, Raymond J. Mooney:
Adaptive Blocking: Learning to Scale Up Record Linkage. 87-96 - Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen:
Adaptive Parallel Graph Mining for CMP Architectures. 97-106 - Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith:
Meta Clustering. 107-118 - Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo:
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results. 119-128 - Xin Chen, Chengcui Zhang:
An Interactive Semantic Video Mining and Retrieval Platform--Application in Transportation Surveillance Video for Incident Detection. 129-138 - James Cheng, Yiping Ke, Wilfred Ng:
delta-Tolerance Closed Frequent Itemsets. 139-148 - Matt Culver, Kun Deng, Stephen Scott:
Active Learning to Maximize Area Under the ROC Curve. 149-158 - Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
Rapid Identification of Column Heterogeneity. 159-170 - Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok:
Data Mining Approaches to Criminal Career Analysis. 171-177 - Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook:
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. 178-187 - Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagarmid:
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows. 188-199 - Byron J. Gao, Martin Ester:
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. 200-211 - Jing Gao, Pang-Ning Tan:
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. 212-221 - Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin:
Personalization in Context: Does Context Matter When Building Personalized Customer Models? 222-231 - Gunjan Gupta, Joydeep Ghosh:
Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. 232-243 - Robert Gwadera, Aristides Gionis, Heikki Mannila:
Optimal Segmentation Using Tree Models. 244-253 - Eveline Hoekx, Jan Van den Bussche:
Mining for Tree-Query Associations in a Graph. 254-264 - Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang:
Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm. 265-274 - Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang:
Keyphrase Extraction Using Semantic Networks Structure Analysis. 275-284 - Shen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen:
Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. 285-294 - Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon:
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. 295-306 - Tianyi Jiang, Alexander Tuzhilin:
Improving Personalization Solutions through Optimal Segmentation of Customer Bases. 307-318 - Wei Jiang, Maurizio Atzori:
Secure Distributed k-Anonymous Pattern Mining. 319-329 - Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Supervised Ordering. 330-339 - Hisashi Kashima, Naoki Abe:
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. 340-349 - Guoliang Li, Jianhua Feng, Jianyong Wang, Yong Zhang, Lizhu Zhou:
Incremental Mining of Frequent Query Patterns from XML Queries for Caching. 350-361 - Tao Li, Chris H. Q. Ding:
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. 362-371 - Tao Li, Mitsunori Ogihara, Shenghuo Zhu:
Integrating Features from Different Sources for Music Information Retrieval. 372-381 - Chao Liu, Zeng Lian, Jiawei Han:
How Bayesians Debug. 382-393 - Keith Marsolo, Srinivasan Parthasarathy:
On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval. 394-403 - Arpit Mathur, Soumen Chakrabarti:
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy. 404-413 - Gabriela Moise, Jörg Sander, Martin Ester:
P3C: A Robust Projected Clustering Algorithm. 414-425 - H. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan:
Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. 426-435 - Wang Kay Ngai, Ben Kao, Chun Kit Chui, Reynold Cheng, Michael Chau, Kevin Y. Yip:
Efficient Clustering of Uncertain Data. 436-445 - Peter Owotoki, Natasa Manojlovic, Friedrich Mayer-Lindenberg, Erik Pasche:
A Data Mining Approach for Capacity Building of Stakeholders in Integrated Flood Management. 446-455 - Spiros Papadimitriou, Jimeng Sun, Philip S. Yu:
Local Correlation Tracking in Time Series. 456-465 - Nishith Pathak, Sandeep Mane, Jaideep Srivastava:
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks. 466-477 - Yaling Pei, Osmar R. Zaïane, Yong Gao:
An Efficient Reference-Based Approach to Outlier Detection in Large Datasets. 478-487 - Roberto Perdisci, Guofei Gu, Wenke Lee:
Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems. 488-498 - Christine Preisach, Lars Schmidt-Thieme:
Relational Ensemble Classification. 499-509 - Deepak Rajan, Philip S. Yu:
Discovering Partial Orders in Binary Data. 510-521 - Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam:
Stability Region Based Expectation Maximization for Model-based Clustering. 522-531 - Manjeet Rege, Ming Dong, Farshad Fotouhi:
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning. 532-541 - M. Mahdi Shafiei, Evangelos E. Milios:
Latent Dirichlet Co-Clustering. 542-551 - Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Latent Friend Mining from Blog Data. 552-561 - Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng:
The PDD Framework for Detecting Categories of Peculiar Data. 562-571 - Parag Singla, Pedro M. Domingos:
Entity Resolution with Markov Logic. 572-582 - Ping Sun, Xin Yao:
Boosting Kernel Models for Regression. 583-591 - Yanmin Sun, Mohamed S. Kamel, Yang Wang:
Boosting for Learning Multiple Classes with Imbalanced Class Distribution. 592-602 - Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
What is the Dimension of Your Binary Data? 603-612 - Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
Fast Random Walk with Restart and Its Applications. 613-622 - Ken Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee:
Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining. 623-632 - Atulya Velivelli, Thomas S. Huang:
Dirichlet Aspect Weighting: A Generalized EM Algorithm for Integrating External Data Fields with Semantically Structured Queries by Using Gradient Projection Method. 633-644 - Adriano Veloso, Wagner Meira Jr., Mohammed J. Zaki:
Lazy Associative Classification. 645-654 - Florian Verhein, Sanjay Chawla:
Geometrically Inspired Itemset Mining. 655-666 - Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S. Yu:
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering. 667-677 - Nikil Wale, George Karypis:
Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. 678-689 - Li Wang, Michael D. Gordon, Ji Zhu:
Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning. 690-700 - Peng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu:
LOCI: Load Shedding through Class-Preserving Data Acquisition. 701-710 - Li Wei, Eamonn J. Keogh, Xiaopeng Xi:
SAXually Explicit Images: Finding Unusual Shapes. 711-720 - Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen:
A Novel Scalable Algorithm for Supervised Subspace Learning. 721-730 - Ji Zhang, Qigang Gao, Hai H. Wang:
A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm. 731-740 - Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu:
Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. 741-752 - Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li:
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. 753-764 - Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang:
Identifying Follow-Correlation Itemset-Pairs. 765-774 - Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung:
On the Lower Bound of Local Optimums in K-Means Algorithm. 775-786
Short Papers
- Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti:
Fast On-line Kernel Learning for Trees. 787-791 - Sujeevan Aseervatham, Aomar Osmani, Emmanuel Viennet:
bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation. 792-797 - Suhrid Balakrishnan, David Madigan:
Decision Trees for Functional Variables. 798-802 - Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li:
Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. 803-807 - Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti:
Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity. 808-812 - Vania Bogorny, João Francisco Valiati, Sandro da Silva Camargo, Paulo Martins Engel, Bart Kuijpers, Luis Otávio Alvares:
Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints. 813-817 - Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther:
Pattern Mining in Frequent Dynamic Subgraphs. 818-822 - Huiping Cao, Nikos Mamoulis, David W. Cheung:
Discovery of Collocation Episodes in Spatiotemporal Data. 823-827 - Rich Caruana, Art Munson, Alexandru Niculescu-Mizil:
Getting the Most Out of Ensemble Selection. 828-833 - Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen:
Diverse Topic Phrase Extraction through Latent Semantic Analysis. 834-838 - Hong Cheng, Philip S. Yu, Jiawei Han:
AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. 839-844 - Frank DiMaio, Jude W. Shavlik:
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition. 845-850 - Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan:
A Framework for Regional Association Rule Mining in Spatial Datasets. 851-856 - Pavel A. Dmitriev, Carl Lagoze:
Mining Generalized Graph Patterns Based on User Examples. 857-862 - François Fouss, Luh Yen, Alain Pirotte, Marco Saerens:
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. 863-868 - Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu:
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. 869-873 - Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger:
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. 874-879 - Bin Gao, Tie-Yan Liu, Wei-Ying Ma:
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory. 880-884 - Huahai He, Ambuj K. Singh:
GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space. 885-890 - Olivier Henchiri, Nathalie Japkowicz:
A Feature Selection and Evaluation Scheme for Computer Virus Detection. 891-895 - Shoji Hirano, Shusaku Tsumoto:
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. 896-901 - Jin Huang, Charles X. Ling:
Constructing Ensembles for Better Ranking. 902-906 - Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter, Gerd Stumme:
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices. 907-911 - Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy:
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. 912-916 - Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek:
COSMIC: Conceptually Specified Multi-Instance Clusters. 917-921 - Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason Zhang:
Direct Marketing When There Are Voluntary Buyers. 922-927 - Carson Kai-Sang Leung, Quamrul I. Khan:
DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams. 928-932 - Guichong Li, Howard J. Hamilton:
Searching for Pattern Rules. 933-937 - Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang:
Adding Semantics to Email Clustering. 938-942 - Jun Li, Haofeng Zhou, Wei Wang:
Gradual Cube: Customize Profile on Mobile OLAP. 943-947 - Rui Li, Shenghua Bao, Jin Wang, Yong Yu, Yunbo Cao:
CoMiner: An Effective Algorithm for Mining Competitors from the Web. 948-952 - Yuefeng Li, Wanzhong Yang, Yue Xu:
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules. 953-958 - Louis Licamele, Lise Getoor:
Social Capital in Friendship-Event Networks. 959-964 - Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Under-Sampling for Class-Imbalance Learning. 965-969 - Xu-Ying Liu, Zhi-Hua Zhou:
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. 970-974 - Ning Liu, Shuzhen Nong, Jun Yan, Benyu Zhang, Zheng Chen, Ying Li:
Similarity of Temporal Query Logs Based on ARIMA Model. 975-979 - Vebjorn Ljosa, Ambuj K. Singh:
Probabilistic Segmentation and Analysis of Horizontal Cells. 980-985 - Yi Lu, Shiyong Lu, Adrian E. Platts, Stephen A. Krawetz:
Mining Correlation between Motifs and Gene Expression. 986-990 - Hassan H. Malik, John R. Kender:
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets. 991-996 - Sameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju:
On Trajectory Representation for Scientific Features. 997-1001 - Marc-André Mittermayer, Gerhard Knolmayer:
NewsCATS: A News Categorization and Trading System. 1002-1007 - Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei:
Improving Grouped-Entity Resolution Using Quasi-Cliques. 1008-1015 - Chang-Shing Perng, Haixun Wang, Sheng Ma:
Fast Relevance Discovery in Time Series. 1016-1020 - Rodolphe Priam, Mohamed Nadif:
Probabilistic Enhanced Mapping with the Generative Tabular Model. 1021-1025 - Steffen Rendle, Lars Schmidt-Thieme:
Object Identification with Constraints. 1026-1031 - Binyamin Rosenfeld, Ronen Feldman:
High-Performance Unsupervised Relation Extraction from Large Corpora. 1032-1037 - Asharaf S., M. Narasimha Murty, Shirish K. Shevade:
Cluster Based Core Vector Machine. 1038-1042 - Shady Shehata, Fakhri Karray, Mohamed S. Kamel:
Enhancing Text Clustering Using Concept-based Mining Model. 1043-1048 - Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li:
Detecting Link Spam Using Temporal Information. 1049-1053 - Shirish K. Shevade, Wei Chu:
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. 1054-1058 - Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu:
Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment. 1059-1063 - Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Boosting the Feature Space: Text Classification for Unstructured Data on the Web. 1064-1069 - Daria Sorokina, Johannes Gehrke, Simeon Warner, Paul Ginsparg:
Plagiarism Detection in arXiv. 1070-1075 - Jimeng Sun, Spiros Papadimitriou, Philip S. Yu:
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams. 1076-1080 - Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob Furst, David S. Channin:
Automatic Single-Organ Segmentation in Computed Tomography Images. 1081-1086 - Muhammad Atif Tahir, Jim E. Smith:
Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics. 1086-1090 - Zhouxuan Teng, Wenliang Du:
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks. 1091-1096 - Lini T. Thomas, Satyanarayana R. Valluri, Kamalakar Karlapalem:
MARGIN: Maximal Frequent Subgraph Mining. 1097-1101 - Deepak S. Turaga, Olivier Verscheure, Upendra V. Chaudhari, Lisa Amini:
Resource Management for Networked Classifiers in Distributed Stream Mining Systems. 1102-1107 - Soujanya Vadapalli, Satyanarayana R. Valluri, Kamalakar Karlapalem:
A Simple Yet Effective Data Clustering Algorithm. 1108-1112 - Peter Vorburger, Abraham Bernstein:
Entropy-based Concept Shift Detection. 1113-1118 - Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li:
Recommendation on Item Graphs. 1119-1123 - Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky:
Solution Path for Semi-Supervised Classification with Manifold Regularization. 1124-1129 - Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, HongJiang Zhang:
Semi-Supervised Kernel Regression. 1130-1135 - Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, Zhi-Qiang Liu:
Mining Complex Time-Series Data by Learning Markovian Models. 1136-1140 - Brent Wenerstrom, Christophe G. Giraud-Carrier:
Temporal Data Mining in Dynamic Feature Spaces. 1141-1145 - Man Leung Wong, Yuan Yuan Guo:
Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm. 1146-1150 - Adam Woznica, Alexandros Kalousis, Melanie Hilario:
Distances and (Indefinite) Kernels for Sets of Objects. 1151-1156 - Sheng-Tang Wu, Yuefeng Li, Yue Xu:
Deploying Approaches for Pattern Refinement in Text Mining. 1157-1161 - Hui Xiong, Mark Brodie, Sheng Ma:
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases. 1162-1166 - Dragomir Yankov, Eamonn J. Keogh:
Manifold Clustering of Shapes. 1167-1171 - Dimitrios Zeimpekis, Efstratios Gallopoulos:
Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification. 1172-1177 - Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. 1178-1182 - Jianping Zhang, Manu Shukla:
Rule-Based Platform for Web User Profiling. 1183-1187 - Jianting Zhang, Le Gruenwald:
Opening the Black Box of Feature Extraction: Incorporating Visualization into High-Dimensional Data Mining Processes. 1188-1192 - Xiaodan Zhang, Xiaohua Zhou, Xiaohua Hu:
Semantic Smoothing for Model-based Document Clustering. 1193-1198 - Yan Zhang, Xingquan Zhu, Xindong Wu:
Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. 1199-1204 - Jianjun Zhou, Jörg Sander:
Speedup Clustering with Hierarchical Ranking. 1205-1210 - Zhi-Hua Zhou, Hong-Bin Dai:
Query-Sensitive Similarity Measure for Content-Based Image Retrieval. 1211-1215
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