Papers
Background Modeling Based on Bidirectional Analysis
Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi
Bargaining for Revenue Shares on Tree Trading Networks
Arpita Ghosh, Satyen Kale, Kevin Lang et al.
Basic Level in Formal Concept Analysis: Interesting Concepts and Psychological Ramifications
Radim Belohlavek, Martin Trnecka
Bayesian 3D Tracking from Monocular Video
Ernesto Brau, Jinyan Guan, Kyle Simek et al.
Bayesian Canonical Correlation Analysis
Arto Klami, Seppo Virtanen, Samuel Kaski
Bayesian Depth-from-Defocus with Shading Constraints
Chen Li, Shuochen Su, Yasuyuki Matsushita et al.
Bayesian entropy estimation for binary spike train data using parametric prior knowledge
Evan W Archer, ll Memming Park, Jonathan W Pillow
Bayesian Fusion for Multi-Modal Aerial Images
Alistair Reid, Fabio Ramos, Salah Sukkarieh
Bayesian Games for Adversarial Regression Problems
Michael Großhans, Christoph Sawade, Michael Brückner et al.
Bayesian Grammar Learning for Inverse Procedural Modeling
Andelo Martinovic, Luc Van Gool
Bayesian Hierarchical Community Discovery
Charles Blundell, Yee Whye Teh
Bayesian Induction of Bracketing Inversion Transduction Grammars
Markus Saers, Dekai Wu
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B Schön et al.
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
Ben Shababo, Brooks Paige, Ari Pakman et al.
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini, Xuanlong Nguyen
Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park, Jonathan W Pillow
Bayesian Joint Inversions for the Exploration of Earth Resources
Alistair Reid, Simon O’Callaghan, Edwin V. Bonilla et al.
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
Bayesian learning of joint distributions of objects
Anjishnu Banerjee, Jared Murray, David Dunson
Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness, Michael Bowling
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search
Aijun Bai, Feng Wu, Xiaoping Chen
Bayesian Nonparametric Feature Construction for Inverse Reinforcement Learning
Jaedeug Choi, Kee-Eung Kim
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
Bayesian optimization explains human active search
Ali Borji, Laurent Itti