Domain Adaptation for Microscopy Imaging
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[1] Paul M. Thompson,et al. Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach , 2007, IEEE Transactions on Medical Imaging.
[2] Pascal Fua,et al. Automated reconstruction of tree structures using path classifiers and Mixed Integer Programming , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Ivan Marsic,et al. Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels , 2013, ICML.
[4] Hal Daumé,et al. Learning Task Grouping and Overlap in Multi-task Learning , 2012, ICML.
[5] Michael I. Jordan,et al. Kernel independent component analysis , 2003 .
[6] David J. Fleet,et al. Shared Kernel Information Embedding for Discriminative Inference , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Pascal Fua,et al. A Real-Time Deformable Detector , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[9] Michael I. Jordan,et al. Kernel independent component analysis , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[10] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[11] Avishek Saha,et al. Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database , 2013, MBIA.
[12] Jean-Philippe Vert,et al. Clustered Multi-Task Learning: A Convex Formulation , 2008, NIPS.
[13] Ya Zhang,et al. Boosted multi-task learning , 2010, Machine Learning.
[14] Charles A. Micchelli,et al. Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..
[15] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[16] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .
[17] Pascal Fua,et al. Non-Linear Domain Adaptation with Boosting , 2013, NIPS.
[18] Qiang Yang,et al. Boosting for transfer learning , 2007, ICML '07.
[19] Hal Daumé,et al. Bayesian Multitask Learning with Latent Hierarchies , 2009, UAI.
[20] Rich Caruana,et al. Multitask Learning , 1997, Machine-mediated learning.
[21] James J. Jiang. A Literature Survey on Domain Adaptation of Statistical Classifiers , 2007 .
[22] Marleen de Bruijne,et al. A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity , 2013, MLMI.
[23] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[24] Pascal Fua,et al. Learning Context Cues for Synapse Segmentation , 2013, IEEE Transactions on Medical Imaging.
[25] Rama Chellappa,et al. Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.
[26] Javier DeFelipe,et al. Espina: A Tool for the Automated Segmentation and Counting of Synapses in Large Stacks of Electron Microscopy Images , 2011, Front. Neuroanat..
[27] Neil D. Lawrence,et al. Ambiguity Modeling in Latent Spaces , 2008, MLMI.
[28] Rich Caruana,et al. An empirical comparison of supervised learning algorithms , 2006, ICML.
[29] Jonathan Baxter,et al. A Model of Inductive Bias Learning , 2000, J. Artif. Intell. Res..
[30] Peter Mountney,et al. Learning without Labeling: Domain Adaptation for Ultrasound Transducer Localization , 2013, MICCAI.
[31] Johannes E. Schindelin,et al. Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.
[32] Daoqiang Zhang,et al. Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease , 2013, MICCAI.
[33] Ullrich Köthe,et al. Ilastik: Interactive learning and segmentation toolkit , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[34] Jing Bai,et al. Ranking function adaptation with boosting trees , 2011, TOIS.
[35] Trevor Darrell,et al. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms , 2011, CVPR 2011.
[36] Rajesh P. N. Rao,et al. Learning Shared Latent Structure for Image Synthesis and Robotic Imitation , 2005, NIPS.
[37] Trevor Darrell,et al. Factorized Orthogonal Latent Spaces , 2010, AISTATS.
[38] Murat Dundar,et al. An Improved Multi-task Learning Approach with Applications in Medical Diagnosis , 2008, ECML/PKDD.
[39] Timothy F. Cootes,et al. Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting , 2013, IEEE Transactions on Medical Imaging.
[40] Hongyuan Zha,et al. A General Boosting Method and its Application to Learning Ranking Functions for Web Search , 2007, NIPS.
[41] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[42] Ji Zhu,et al. Boosting as a Regularized Path to a Maximum Margin Classifier , 2004, J. Mach. Learn. Res..