Papers
Adaptive Coordination Strategies for Human-Robot Handovers
Chien-Ming Huang, Maya Cakmak, Bilge Mutlu
Adaptive Dither Voting for Robust Spatial Verification
Xiaomeng Wu, Kunio Kashino
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps
Kang Dang, Jiong Yang, Junsong Yuan
Adaptive Eye-Camera Calibration for Head-Worn Devices
David Perra, Rohit Kumar Gupta, Jan-Michael Frahm
Adaptive Hashing for Fast Similarity Search
Fatih Cakir, Stan Sclaroff
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points
Xiaobo Wang, Xiaojie Guo, Stan Z. Li
Adaptive Online Learning
Dylan J Foster, Alexander Rakhlin, Karthik Sridharan
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
Tom Goldstein, Min Li, Xiaoming Yuan
Adaptive Recovery of Signals by Convex Optimization
Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski et al.
Adaptive Region Pooling for Object Detection
Yi-Hsuan Tsai, Onur C. Hamsici, Ming-Hsuan Yang
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising
Ying Fu, Antony Lam, Imari Sato et al.
Adaptive Stochastic Alternating Direction Method of Multipliers
Peilin Zhao, Jinwei Yang, Tong Zhang et al.
Adaptive Stochastic Optimization: From Sets to Paths
Zhan Wei Lim, David Hsu, Wee Sun Lee
Adaptive Strategy for Stratified Monte Carlo Sampling
Alexandra Carpentier, Remi Munos, András Antos
A Data-Driven Metric for Comprehensive Evaluation of Saliency Models
Jia Li, Changqun Xia, Yafei Song et al.
A Dataset for Movie Description
Anna Rohrbach, Marcus Rohrbach, Niket Tandon et al.
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi et al.
Additive Nearest Neighbor Feature Maps
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu et al.
Addressing Constraint Robustness to Torque Errors in Task-Space Inverse Dynamics
Andrea Del Prete, Nicolas Mansard
A Deeper Look at Planning as Learning from Replay
Harm Vanseijen, Rich Sutton
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs
Zhuoyuan Chen, Xun Sun, Liang Wang et al.
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
Yining Wang, Yu-Xiang Wang, Aarti Singh
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Fang Han, Huanran Lu, Han Liu
A Dirichlet Process Mixture Model for Spherical Data
Julian Straub, Jason Chang, Oren Freifeld et al.