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[1] Pascal Fua,et al. Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Zhuowen Tu,et al. Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[3] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[4] Vincent Lepetit,et al. Are sparse representations really relevant for image classification? , 2011, CVPR 2011.
[5] Ghassan Hamarneh,et al. Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues , 2010, ECCV.
[6] Zhuowen Tu,et al. Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Martial Hebert,et al. Stacked Hierarchical Labeling , 2010, ECCV.
[8] Margret Keuper,et al. Semi-automatic determination of cell surface areas used in systems biology. , 2013, Frontiers in bioscience.
[9] Daniel P. Huttenlocher,et al. Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.
[10] Peter Kontschieder,et al. GeoF: Geodesic Forests for Learning Coupled Predictors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[12] Sebastian Nowozin,et al. Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling , 2013 .
[13] Heng Huang,et al. Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling , 2013, BMC Bioinformatics.
[14] Jean Ponce,et al. A Theoretical Analysis of Feature Pooling in Visual Recognition , 2010, ICML.
[15] Bram van Ginneken,et al. Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification , 2006, IEEE Transactions on Medical Imaging.
[16] Pushmeet Kohli,et al. Robust Higher Order Potentials for Enforcing Label Consistency , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Pascal Fua,et al. Learning Context Cues for Synapse Segmentation in EM Volumes , 2012, MICCAI.
[18] Dimitris N. Metaxas,et al. Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images , 2011, IPMI.
[19] Pascal Fua,et al. Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features , 2012, IEEE Transactions on Medical Imaging.
[20] Pushmeet Kohli,et al. Associative hierarchical CRFs for object class image segmentation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[21] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[22] Vincent Lepetit,et al. Supervised Feature Learning for Curvilinear Structure Segmentation , 2013, MICCAI.
[23] Deva Ramanan,et al. Learning to parse images of articulated bodies , 2006, NIPS.
[24] Robert F. Murphy,et al. Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[25] Pascal Fua,et al. Are spatial and global constraints really necessary for segmentation? , 2011, 2011 International Conference on Computer Vision.
[26] Marc Toussaint,et al. Multi-class image segmentation using conditional random fields and global classification , 2009, ICML '09.
[27] B. Triggs,et al. Scene segmentation with Conditional Random Fields learned from partially labeled images , 2007, NIPS 2007.
[28] Andrew McCallum,et al. Piecewise pseudolikelihood for efficient training of conditional random fields , 2007, ICML '07.
[29] Vincent Lepetit,et al. Multiscale Centerline Detection by Learning a Scale-Space Distance Transform , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.