Papers
Privacy Preserving Optics for Miniature Vision Sensors
Francesco Pittaluga, Sanjeev J. Koppal
Private Graphon Estimation for Sparse Graphs
Christian Borgs, Jennifer Chayes, Adam Smith
Probabilistic Appearance Models for Segmentation and Classification
Julia Kruger, Jan Ehrhardt, Heinz Handels
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Jose Miguel Hernandez-Lobato, Ryan Adams
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
Ye Wang, David B Dunson
Probabilistic Label Relation Graphs With Ising Models
Nan Ding, Jia Deng, Kevin P. Murphy et al.
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci, Philipp Hennig
Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM
Raul Mur-Artal, Juan Tardos
Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John W. Fisher III, Alex Ihler
Probability Occupancy Maps for Occluded Depth Images
Timur Bagautdinov, Francois Fleuret, Pascal Fua
Procedural Editing of 3D Building Point Clouds
Ilke Demir, Daniel G. Aliaga, Bedrich Benes
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes
Li Liu, Mengyang Yu, Ling Shao
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition
Zhiwu Huang, Ruiping Wang, Shiguang Shan et al.
Projection Onto the Manifold of Elongated Structures for Accurate Extraction
Amos Sironi, Vincent Lepetit, Pascal Fua
Project-Out Cascaded Regression With an Application to Face Alignment
Georgios Tzimiropoulos
Propagated Image Filtering
Jen-Hao Rick Chang, Yu-Chiang Frank Wang
Protecting Against Screenshots: An Image Processing Approach
Alex Yong-Sang Chia, Udana Bandara, Xiangyu Wang et al.
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Jason Pacheco, Erik Sudderth
PU Learning for Matrix Completion
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit Dhillon
Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A
Brendan F. Klare, Ben Klein, Emma Taborsky et al.
Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Bo Xin, David Wipf
pyGPs -- A Python Library for Gaussian Process Regression and Classification
Marion Neumann, Shan Huang, Daniel E. Marthaler et al.
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Balazs Szorenyi, Robert Busa-Fekete, Paul Weng et al.
Quantitative Measures of a Robot's Ability to Balance
Roy Featherstone