Papers
Pose Transferrable Person Re-Identification
Jinxian Liu, Bingbing Ni, Yichao Yan et al.
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
Hong Shi, Shaojun Pan, Jian Yang et al.
Possessors Change Over Time: A Case Study with Artworks
Dhivya Chinnappa, Eduardo Blanco
Possibilistic ASP Base Revision by Certain Input
Laurent Garcia, Claire Lefèvre, Odile Papini et al.
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
Yuanxiang Gao, Li Chen, Baochun Li
Posterior Concentration for Sparse Deep Learning
Nicholas G Polson, Veronika Ročková
Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding
Sneha Das, Tom Bäckström
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding
Sneha Das, Tom Bäckström
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
Junwei Lu, Mladen Kolar, Han Liu
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu et al.
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić, Goran Glavaš, Nikola Mrkšić et al.
PoTion: Pose MoTion Representation for Action Recognition
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud et al.
Power-law Distribution Aware Trust Prediction
Xiao Wang, Ziwei Zhang, Jing Wang et al.
Power-law efficient neural codes provide general link between perceptual bias and discriminability
Michael Morais, Jonathan W Pillow
PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication
Li Chen, Jiacheng Xia, Bairen Yi et al.
Power Networks: A Novel Neural Architecture to Predict Power Relations
Michelle Lam, Catherina Xu, Vinodkumar Prabhakaran
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng, Tolga Birdal, Slobodan Ilic
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems
Mahnoosh Mehrabani, David Thomson, Benjamin Stern
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Practical Block-Wise Neural Network Architecture Generation
Zhao Zhong, Junjie Yan, Wei Wu et al.
Practical Contextual Bandits with Regression Oracles
Dylan Foster, Alekh Agarwal, Miroslav Dudik et al.
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, François Fleuret
Practical exact algorithm for trembling-hand equilibrium refinements in games
Gabriele Farina, Nicola Gatti, Tuomas Sandholm