Papers
Riemannian Pursuit for Big Matrix Recovery
Mingkui Tan, Ivor W. Tsang, Li Wang et al.
Rigid Motion Segmentation using Randomized Voting
Heechul Jung, Jeongwoo Ju, Junmo Kim
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
Ahmad Humayun, Fuxin Li, James M. Rehg
RNN-based Derivation Structure Prediction for SMT
Feifei Zhai, Jiajun Zhang, Yu Zhou et al.
Robot Programming by Demonstration with Interactive Action Visualizations
Sonya Alexandrova, Maya Cakmak, Kaijen Hsiao et al.
Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems
Xiangqi Huang, Bo Zheng, Takeshi Masuda et al.
Robust 3D Tracking with Descriptor Fields
Alberto Crivellaro, Vincent Lepetit
Robust and Agile 3D Biped Walking With Steering Capability Using a Footstep Predictive Approach
Salman Faraji, Soha Pouya, Auke Ijspeert
Robust and Efficient Kernel Hyperparameter Paths with Guarantees
Joachim Giesen, Soeren Laue, Patrick Wieschollek
Robust Bayesian Max-Margin Clustering
Changyou Chen, Jun Zhu, Xinhua Zhang
Robust Classification Under Sample Selection Bias
Anqi Liu, Brian Ziebart
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization
Hua Wang, Feiping Nie, Heng Huang
Robust Domain Adaptation for Relation Extraction via Clustering Consistency
Minh Luan Nguyen, Ivor W. Tsang, Kian Ming A. Chai et al.
Robust Entity Clustering via Phylogenetic Inference
Nicholas Andrews, Jason Eisner, Mark Dredze
Robust Estimation of 3D Human Poses from a Single Image
Chunyu Wang, Yizhou Wang, Zhouchen Lin et al.
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions
Asaf Noy, Koby Crammer
Robust Hierarchical Clustering
Maria-Florina Balcan, Yingyu Liang, Pramod Gupta
Robust Inverse Covariance Estimation under Noisy Measurements
Jun-Kun Wang, Shou-de Lin
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
Robert A Vandermeulen, Clayton Scott
Robust learning of inhomogeneous PMMs
Ralf Eggeling, Teemu Roos, Petri Myllymäki et al.
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
Junfeng Wen, Chun-Nam Yu, Russell Greiner
Robust Logistic Regression and Classification
Jiashi Feng, Huan Xu, Shie Mannor et al.
Robust Logistic Regression using Shift Parameters
Julie Tibshirani, Christopher D. Manning
Robust Multi-objective Learning with Mentor Feedback
Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík et al.