Papers
Pregrasp Manipulation as Trajectory Optimization
Jennifer King, Matthew Klingensmith, Christopher Dellin et al.
Prime Object Proposals with Randomized Prim's Algorithm
Santiago Manen, Matthieu Guillaumin, Luc Van Gool
Principal Component Analysis on non-Gaussian Dependent Data
Fang Han, Han Liu
Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display
Weiming Li, Haitao Wang, Mingcai Zhou et al.
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck, Che-Yu Liu
Probabilistic Elastic Matching for Pose Variant Face Verification
Haoxiang Li, Gang Hua, Zhe Lin et al.
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation
Haoxiang Li, Gang Hua, Zhe Lin et al.
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
Luming Zhang, Mingli Song, Zicheng Liu et al.
Probabilistic Label Trees for Efficient Large Scale Image Classification
Baoyuan Liu, Fereshteh Sadeghi, Marshall Tappen et al.
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, François Caron, Marie Chavent
Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan R Peters et al.
Probabilistic Principal Geodesic Analysis
Miaomiao Zhang, Tom Fletcher
Procrustean Normal Distribution for Non-rigid Structure from Motion
Minsik Lee, Jungchan Cho, Chong-Ho Choi et al.
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation
Michael Maire, Stella X. Yu
Projected Natural Actor-Critic
Philip S. Thomas, William C Dabney, Stephen Giguere et al.
Projecting Ising Model Parameters for Fast Mixing
Justin Domke, Xianghang Liu
Proportion Priors for Image Sequence Segmentation
Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers
\proptoSVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar et al.
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso
Yinghuan Shi, Shu Liao, Yaozong Gao et al.
Provable Subspace Clustering: When LRR meets SSC
Yu-Xiang Wang, Huan Xu, Chenlei Leng
Pyramid Coding for Functional Scene Element Recognition in Video Scenes
Eran Swears, Anthony Hoogs, Kim Boyer
Q-learning for history-based reinforcement learning
Mayank Daswani, Peter Sunehag, Marcus Hutter
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Quadruplet-Wise Image Similarity Learning
Marc T. Law, Nicolas Thome, Matthieu Cord
Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng, Michael Mahoney