Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine
暂无分享,去创建一个
[1] Thomas G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.
[2] Cordelia Schmid,et al. Constructing models for content-based image retrieval , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] Yuko Y Palesch,et al. Analysis of clustered matched‐pair data , 2003, Statistics in medicine.
[4] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[5] Mohammad Norouzi,et al. Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[7] A. Dirksen,et al. The Danish Randomized Lung Cancer CT Screening Trial—Overall Design and Results of the Prevalence Round , 2009, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[8] Andrew Zisserman,et al. A Statistical Approach to Material Classification Using Image Patch Exemplars , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] J. Hardin,et al. A note on the tests for clustered matched‐pair binary data , 2010, Biometrical journal. Biometrische Zeitschrift.
[10] Zhenghao Chen,et al. On Random Weights and Unsupervised Feature Learning , 2011, ICML.
[11] Marleen de Bruijne,et al. Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation , 2011, IPMI.
[12] Honglak Lee,et al. Unsupervised learning of hierarchical representations with convolutional deep belief networks , 2011, Commun. ACM.
[13] Razvan Pascanu,et al. Learning Algorithms for the Classification Restricted Boltzmann Machine , 2012, J. Mach. Learn. Res..
[14] Antoine Geissbühler,et al. Building a reference multimedia database for interstitial lung diseases , 2012, Comput. Medical Imaging Graph..
[15] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[16] Dimitri Van De Ville,et al. Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames , 2012, IEEE Transactions on Information Technology in Biomedicine.
[17] Roger C. Tam,et al. Manifold Learning of Brain MRIs by Deep Learning , 2013, MICCAI.
[18] Joachim Hornegger,et al. Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems , 2013, MICCAI.
[19] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] David Dagan Feng,et al. Lung image patch classification with automatic feature learning , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).