International Journal of Computer Vision
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
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 Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
IEEE Transactions on Circuits and Systems for Video Technology
Learning similarity measure for natural image retrieval with relevance feedback
IEEE Transactions on Neural Networks
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel-based distance metric learning for content-based image retrieval
Image and Vision Computing
Device parts retrieval from assembly drawings with SVM based active relevance feedback
Proceedings of the 6th ACM international conference on Image and video retrieval
SVM-based active feedback in image retrieval using clustering and unlabeled data
Pattern Recognition
Adaptive multiple feedback strategies for interactive video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Semisupervised SVM batch mode active learning with applications to image retrieval
ACM Transactions on Information Systems (TOIS)
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval
Image and Vision Computing
SVM-based active feedback in image retrieval using clustering and unlabeled data
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Semi-supervised distance metric learning for collaborative image retrieval and clustering
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
VisionGo: Towards video retrieval with joint exploration of human and computer
Information Sciences: an International Journal
Active multiple kernel learning for interactive 3D object retrieval systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Improved adaboost-based image retrieval with relevance feedback via paired feature learning
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Fuzzy SVM ensembles for relevance feedback in image retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
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Relevance feedback (RF) schemes based on support vector machine (SVM) have been widely used in content-based image retrieval. However, the performance of SVM based RF is often poor when the number of labeled positive feedback samples is small. This is mainly due to three reasons: 1. SVM classifier is unstable on small size training set; 2. SVM's optimal hyper-plane may be biased when the positive feedback samples are much less than the negative feedback samples; 3. overfitting due to that the feature dimension is much higher than the size of the training set. In this paper, we try to use random sampling techniques to overcome these problems. To address the first two problems, we propose an asymmetric bagging based SVM. For the third problem, we combine the random subspace method (RSM) and SVM for RF. Finally, by integrating bagging and RSM, we solve all the three problems and further improve the RF performance.