Papers
173,579 papers found
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing
Lantao Liu, Dylan Shell
Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker, Daniel D Lee
Optimal Orthogonal Basis and Image Assimilation: Motion Modeling
Etienne Huot, Giuseppe Papari, Isabelle Herlin
Optimal rates for stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas, Aarti Singh
Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E Gonzalez, Stefanie Jegelka et al.
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Dengyong Zhou
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
Optimization Problems for Fast AAM Fitting in-the-Wild
Georgios Tzimiropoulos, Maja Pantic
Optimization with First-Order Surrogate Functions
Julien Mairal
Optimized Pedestrian Detection for Multiple and Occluded People
Sitapa Rujikietgumjorn, Robert T. Collins
Optimized Product Quantization for Approximate Nearest Neighbor Search
Tiezheng Ge, Kaiming He, Qifa Ke et al.
Optimizing 1-Nearest Prototype Classifiers
Paul Wohlhart, Martin Kostinger, Michael Donoser et al.
Optimizing Instructional Policies
Robert Lindsey, Michael Mozer, William J Huggins et al.
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski et al.
Orange: Data Mining Toolbox in Python
Janez Demšar, Tomaž Curk, Aleš Erjavec et al.
Orderless Tracking through Model-Averaged Posterior Estimation
Seunghoon Hong, Suha Kwak, Bohyung Han
PAC-Bayes-Empirical-Bernstein Inequality
Ilya O Tolstikhin, Yevgeny Seldin
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
Aapo Hyvärinen, Stephen M. Smith
Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items
Kota Yamaguchi, M. Hadi Kiapour, Tamara L. Berg
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey, Eric Xing
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
Jason Chang, John W. Fisher III
Parallel Transport of Deformations in Shape Space of Elastic Surfaces
Qian Xie, Sebastian Kurtek, Huiling Le et al.
Parallel Vector Field Embedding
Binbin Lin, Xiaofei He, Chiyuan Zhang et al.
Parameter Learning and Convergent Inference for Dense Random Fields
Philipp Kraehenbuehl, Vladlen Koltun