Papers
Large Displacement 3D Scene Flow With Occlusion Reasoning
Andrei Zanfir, Cristian Sminchisescu
Large-Scale and Drift-Free Surface Reconstruction Using Online Subvolume Registration
Nicola Fioraio, Jonathan Taylor, Andrew Fitzgibbon et al.
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao et al.
Large-Scale Damage Detection Using Satellite Imagery
Lionel Gueguen, Raffay Hamid
Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey et al.
Large-scale log-determinant computation through stochastic Chebyshev expansions
Insu Han, Dmitry Malioutov, Jinwoo Shin
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen et al.
Large-scale probabilistic predictors with and without guarantees of validity
Vladimir Vovk, Ivan Petej, Valentina Fedorova
Largest Source Subset Selection for Instance Transfer
Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov et al.
Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Peter Wonka, Jieping Ye
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
CHRISTOS THRAMPOULIDIS, Ehsan Abbasi, Babak Hassibi
Latent Bayesian melding for integrating individual and population models
Mingjun Zhong, Nigel Goddard, Charles Sutton
Latent feature regression for multivariate count data
Arto Klami, Abhishek Tripathi, Johannes Sirola et al.
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Yarin Gal, Yutian Chen, Zoubin Ghahramani
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar, Lise Getoor
Latent Trees for Estimating Intensity of Facial Action Units
Sebastian Kaltwang, Sinisa Todorovic, Maja Pantic
Layered Interpretation of Street View Images
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam et al.
Layered RGBD Scene Flow Estimation
Deqing Sun, Erik B. Sudderth, Hanspeter Pfister
Learnability of Influence in Networks
Harikrishna Narasimhan, David C. Parkes, Yaron Singer
Learnability of Solutions to Conjunctive Queries: The Full Dichotomy
Hubie Chen, Matthew Valeriote
Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal
Jian Sun, Wenfei Cao, Zongben Xu et al.
Learning a Descriptor-Specific 3D Keypoint Detector
Samuele Salti, Federico Tombari, Riccardo Spezialetti et al.
Learning a Discriminative Model for the Perception of Realism in Composite Images
Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman et al.
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel et al.
Learning and inference in the presence of corrupted inputs
Uriel Feige, Yishay Mansour, Robert Schapire