Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Efficient Feature Selection in Conceptual Clustering
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Feature Selection as a Preprocessing Step for Hierarchical Clustering
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Model Selection in Unsupervised Learning with Applications To Document Clustering
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Feature Subset Selection and Order Identification for Unsupervised Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Testing for Human Perceptual Categories in a Physician-in-the-loop CBIR System for Medical Imagery
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Texture Features and Learning Similarity
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Interactive Learning with a "Society of Models"
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Feature selection for unsupervised learning applied to content-based image retrieval
Feature selection for unsupervised learning applied to content-based image retrieval
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Feature Selection for Unsupervised Learning
The Journal of Machine Learning Research
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multiscale representation for automatic identification of structures in medical images
Computers in Biology and Medicine
Spectral clustering with eigenvector selection
Pattern Recognition
Modeling Semantic Aspects for Cross-Media Image Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
In search of deterministic methods for initializing K-means and Gaussian mixture clustering
Intelligent Data Analysis
Hierarchical fuzzy filter method for unsupervised feature selection
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
An image content description technique for the inspection of specular objects
EURASIP Journal on Advances in Signal Processing
Letters: Neighborhood discriminant tensor mapping
Neurocomputing
Feature selection with dynamic mutual information
Pattern Recognition
Concept-based feature generation and selection for information retrieval
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Adapting indexing trees to data distribution in feature spaces
Computer Vision and Image Understanding
Bagging Constraint Score for feature selection with pairwise constraints
Pattern Recognition
Registration and retrieval of highly elastic bodies using contextual information
Pattern Recognition Letters
Bi-modal conceptual indexing for medical image retrieval
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A content based image retrieval system for a biological specimen collection
Computer Vision and Image Understanding
Expert Systems with Applications: An International Journal
A novel image retrieval model based on the most relevant features
Knowledge-Based Systems
Eigenvector sensitive feature selection for spectral clustering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Towards the improvement of textual anatomy image classification using image local features
MMAR '11 Proceedings of the 2011 international ACM workshop on Medical multimedia analysis and retrieval
VisMed: a visual vocabulary approach for medical image indexing and retrieval
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Immune multiobjective optimization algorithm for unsupervised feature selection
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Unsupervised gene selection and clustering using simulated annealing
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Using multiscale visual words for lung texture classification and retrieval
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
An endmember-based distance for content based hyperspectral image retrieval
Pattern Recognition
Improving the ranking quality of medical image retrieval using a genetic feature selection method
Decision Support Systems
A novel feature selection method based on normalized mutual information
Applied Intelligence
Unsupervised feature selection for linked social media data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Toward the scalability of neural networks through feature selection
Expert Systems with Applications: An International Journal
Content-based texture image retrieval using fuzzy class membership
Pattern Recognition Letters
Journal of Information Science
Fuzzy clustering with biological knowledge for gene selection
Applied Soft Computing
Feature subset selection using improved binary gravitational search algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper describes a new hierarchical approach to content-based image retrieval called the 驴customized-queries驴 approach (CQA). Contrary to the single feature vector approach which tries to classify the query and retrieve similar images in one step, CQA uses multiple feature sets and a two-step approach to retrieval. The first step classifies the query according to the class labels of the images using the features that best discriminate the classes. The second step then retrieves the most similar images within the predicted class using the features customized to distinguish 驴subclasses驴 within that class. Needing to find the customized feature subset for each class led us to investigate feature selection for unsupervised learning. As a result, we developed a new algorithm called FSSEM (feature subset selection using expectation-maximization clustering). We applied our approach to a database of high resolution computed tomography lung images and show that CQA radically improves the retrieval precision over the single feature vector approach. To determine whether our CBIR system is helpful to physicians, we conducted an evaluation trial with eight radiologists. The results show that our system using CQA retrieval doubled the doctors' diagnostic accuracy.