The Importance of Structure
暂无分享,去创建一个
[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[2] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[3] C. Chabris,et al. Gorillas in Our Midst: Sustained Inattentional Blindness for Dynamic Events , 1999, Perception.
[4] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[5] Kilian Q. Weinberger,et al. Learning a kernel matrix for nonlinear dimensionality reduction , 2004, ICML.
[6] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[7] Danica Kragic,et al. Learning Actions from Observations , 2010, IEEE Robotics & Automation Magazine.
[8] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[9] Christopher W. Geib,et al. The meaning of action: a review on action recognition and mapping , 2007, Adv. Robotics.
[10] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Ryan P. Adams,et al. Learning the Structure of Deep Sparse Graphical Models , 2009, AISTATS.
[12] Nico Blodow,et al. Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[13] Patrick Pérez,et al. Retrieving actions in movies , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[14] Eli Shechtman,et al. In defense of Nearest-Neighbor based image classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[16] Niklas Bergström,et al. Scene Understanding through Autonomous Interactive Perception , 2011, ICVS.
[17] Danica Kragic,et al. Learning Conditional Structures in Graphical Models from a Large Set of Observation Streams through efficient Discretisation , 2011 .
[18] Marie-Pierre Jolly,et al. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[19] Ronald A. Rensink,et al. On the Failure to Detect Changes in Scenes Across Brief Interruptions , 2000 .
[20] Trevor Darrell,et al. Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[21] Danica Kragic,et al. Visual object-action recognition: Inferring object affordances from human demonstration , 2011, Comput. Vis. Image Underst..
[22] Nello Cristianini,et al. Classification using String Kernels , 2000 .
[23] Guoliang Luo,et al. Representing actions with kernels , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Gunnar E. Carlsson,et al. Topology and data , 2009 .
[25] Danica Kragic,et al. Multivariate discretization for Bayesian Network structure learning in robot grasping , 2011, 2011 IEEE International Conference on Robotics and Automation.
[26] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Eren Erdal Aksoy,et al. Categorizing object-action relations from semantic scene graphs , 2010, 2010 IEEE International Conference on Robotics and Automation.
[28] Danica Kragic,et al. Learning task constraints for robot grasping using graphical models , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[29] Katherine A. Heller,et al. An Alternative Prior Process for Nonparametric Bayesian Clustering , 2008, AISTATS.
[30] Thomas L. Griffiths,et al. Infinite latent feature models and the Indian buffet process , 2005, NIPS.
[31] Brett Browning,et al. A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..
[32] Radu Bogdan Rusu,et al. Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments , 2010, KI - Künstliche Intelligenz.
[33] Danica Kragic,et al. Embodiment-specific representation of robot grasping using graphical models and latent-space discretization , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[34] Nico Blodow,et al. Fast geometric point labeling using conditional random fields , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.