Papers
173,579 papers found
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.
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