Papers
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs
Liam C MacDermed, Charles L Isbell
Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
Shane Griffith, Kaushik Subramanian, Jonathan Scholz et al.
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification
Fabian Gieseke, Tapio Pahikkala, Christian Igel
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
Thomas Berg, Peter N. Belhumeur
POP: Person Re-identification Post-rank Optimisation
Chunxiao Liu, Chen Change Loy, Shaogang Gong et al.
Pose-Configurable Generic Tracking of Elongated Objects
Daniel Wesierski, Patrick Horain
Pose Estimation and Segmentation of People in 3D Movies
Karteek Alahari, Guillaume Seguin, Josef Sivic et al.
Pose Estimation with Unknown Focal Length Using Points, Directions and Lines
Yubin Kuang, Kalle Astrom
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model
Xiang Yu, Junzhou Huang, Shaoting Zhang et al.
Pose from Flow and Flow from Pose
Katerina Fragkiadaki, Han Hu, Jianbo Shi
Poselet Conditioned Pictorial Structures
Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler et al.
Poselet Key-Framing: A Model for Human Activity Recognition
Michalis Raptis, Leonid Sigal
Potts Model, Parametric Maxflow and K-Submodular Functions
Igor Gridchyn, Vladimir Kolmogorov
Precision-recall space to correct external indices for biclustering
Blaise Hanczar, Mohamed Nadif
Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei et al.
Predicting an Object Location Using a Global Image Representation
Jose A. Rodriguez Serrano, Diane Larlus
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh et al.
Predicting Primary Gaze Behavior Using Social Saliency Fields
Hyun Soo Park, Eakta Jain, Yaser Sheikh
Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation
Suyog Dutt Jain, Kristen Grauman
Prediction by random-walk perturbation
Luc Devroye, Gábor Lugosi, Gergely Neu
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Predictive PAC Learning and Process Decompositions
Cosma Shalizi, Aryeh Kontorovich
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Kouzou Ohara, Kazumi Saito, Masahiro Kimura et al.