Foundations of statistical natural language processing
Foundations of statistical natural language processing
Visual information retrieval
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Feature selection using linear classifier weights: interaction with classification models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
CLAIRE: A modular support vector image indexing and classification system
ACM Transactions on Information Systems (TOIS)
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Geometric Mean for Subspace Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transductive Component Analysis
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
A closer look at boosted image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Browsing personal images using episodic memory (time + location)
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
IEEE Transactions on Multimedia
An integrated content and metadata based retrieval system for art
IEEE Transactions on Image Processing
Which Components are Important for Interactive Image Searching?
IEEE Transactions on Circuits and Systems for Video Technology
Fully affine invariant SURF for image matching
Neurocomputing
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How to bridge the semantic gap is currently a major research problem in Content-Based Image Retrieval (CBIR). Most applications are based on supervised machine-learning classifiers to match images with their related categories. Noisy training information has resulted in current systems having low accuracy, especially when using large numbers of vocabulary categories. In this paper, we describe the use of the Information Gain (IG) and AdaBoost learning algorithms for noise and outlier information filtering in the system training stage, thus improving the performance of image classification. Our experiments look at different numbers of target categories and image segmentation schemes.