Semi-supervised image classification in large datasets by using random forest and fuzzy quantification of the salient object
暂无分享,去创建一个
[1] Andrew McCallum,et al. High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models , 2010, ICML.
[2] Antonio Torralba,et al. Semi-Supervised Learning in Gigantic Image Collections , 2009, NIPS.
[3] Ashish Kapoor,et al. Active learning for large multi-class problems , 2009, CVPR.
[4] Horst Bischof,et al. Semi-Supervised Random Forests , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[5] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[6] Luc Van Gool,et al. Ensemble Projection for Semi-supervised Image Classification , 2013, 2013 IEEE International Conference on Computer Vision.
[7] Faïez Gargouri,et al. A new semi-supervised hierarchical active clustering based on ranking constraints for analysts groupization , 2012, Applied Intelligence.
[8] Xuejuan Huang,et al. Interactive Image Segmentation by Semi-supervised Learning Ensemble , 2008, 2008 International Symposium on Knowledge Acquisition and Modeling.
[9] Peyman Milanfar,et al. Visual saliency for automatic target detection, boundary detection, and image quality assessment , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[10] Loc Tran. Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem , 2012, ArXiv.
[11] Pietro Perona,et al. A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Mohammad Saniee Abadeh,et al. Semi Supervised Clustering: A Pareto Approach , 2012, MLDM.
[13] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[14] Rujie Liu,et al. Semi-supervised Learning for Large Scale Image Cosegmentation , 2013, 2013 IEEE International Conference on Computer Vision.
[15] Shi-Min Hu,et al. Global contrast based salient region detection , 2011, CVPR 2011.
[16] Kebin Jia,et al. Semi-supervised Facial Expression Recognition Algorithm on the Condition of Multi-pose , 2013, J. Inf. Hiding Multim. Signal Process..
[17] Saso Dzeroski,et al. Semi-Supervised Learning for Quantitative Structure-Activity Modeling , 2013, Informatica.
[18] Hong Cheng,et al. Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach , 2012, DASFAA.
[19] Hugo Larochelle,et al. Learning to rank by aggregating expert preferences , 2012, CIKM.
[20] Mubarak Shah,et al. Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Xiao Liu,et al. Semi-supervised Node Splitting for Random Forest Construction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Philip H. S. Torr,et al. Salient Object Detection and Segmentation , 2013 .
[23] Rainer Stiefelhagen,et al. Semi-supervised Learning with Constraints for Person Identification in Multimedia Data , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Vibhav Vineet,et al. Efficient Salient Region Detection with Soft Image Abstraction , 2013, 2013 IEEE International Conference on Computer Vision.
[25] Shih-Fu Chang,et al. Semi-supervised learning using greedy max-cut , 2013, J. Mach. Learn. Res..
[26] Faïez Gargouri,et al. $\mathcal{SHACUN}$ : Semi-supervised Hierarchical Active Clustering Based on Ranking Constraints , 2012, ICDM.
[27] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[28] Wei Liu,et al. Optimal semi-supervised metric learning for image retrieval , 2012, ACM Multimedia.