Papers
Multi-Output Learning for Camera Relocalization
Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker et al.
Multi-period Trading Prediction Markets with Connections to Machine Learning
Jinli Hu, Amos Storkey
Multiple Granularity Analysis for Fine-grained Action Detection
Bingbing Ni, Vignesh R. Paramathayalan, Pierre Moulin
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data
Feng-Ju Chang, Yen-Yu Lin, Kuang-Jui Hsu
Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph
Longyin Wen, Wenbo Li, Junjie Yan et al.
Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside et al.
Multipoint Filtering with Local Polynomial Approximation and Range Guidance
Xiao Tan, Changming Sun, Tuan D. Pham
Multi-Predicate Semantic Role Labeling
Haitong Yang, Chengqing Zong
Multi-Resolution Cascades for Multiclass Object Detection
Mohammad Saberian, Nuno Vasconcelos
Multi-Resolution Language Grounding with Weak Supervision
R. Koncel-Kedziorski, Hannaneh Hajishirzi, Ali Farhadi
Multiresolution Matrix Factorization
Risi Kondor, Nedelina Teneva, Vikas Garg
Multiscale Centerline Detection by Learning a Scale-Space Distance Transform
Amos Sironi, Vincent Lepetit, Pascal Fua
Multiscale Combinatorial Grouping
Pablo Arbelaez, Jordi Pont-Tuset, Jonathan T. Barron et al.
Multiscale Fields of Patterns
Pedro Felzenszwalb, John G Oberlin
Multi-scale Graphical Models for Spatio-Temporal Processes
firdaus janoos, Huseyin Denli, Niranjan Subrahmanya
Multi-Scale Spectral Decomposition of Massive Graphs
Si Si, Donghyuk Shin, Inderjit S Dhillon et al.
Multiscale Topological Trajectory Classification with Persistent Homology
Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy
Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution-Enhancement
Haichao Zhang, Lawrence Carin
Multi-source Deep Learning for Human Pose Estimation
Wanli Ouyang, Xiao Chu, Xiaogang Wang
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Multi-target Tracking with Motion Context in Tensor Power Iteration
Xinchu Shi, Haibin Ling, Weiming Hu et al.
Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka
Multivariate f-divergence Estimation With Confidence
Kevin Moon, Alfred Hero
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
Hyunwoo J. Kim, Nagesh Adluru, Maxwell D. Collins et al.
Multivariate Maximal Correlation Analysis
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken et al.