Papers
Efficient Second-Order Gradient Boosting for Conditional Random Fields
Tianqi Chen, Sameer Singh, Ben Taskar et al.
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras
Zuzana Kukelova, Jan Heller, Martin Bujnak et al.
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
Martin Azizyan, Aarti Singh, Larry Wasserman
Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers
Jonas Wulff, Michael J. Black
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
Jaya Kawale, Hung H Bui, Branislav Kveton et al.
Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
Jean-Baptiste Tristan, Joseph Tassarotti, Guy Steele
Efficient Training of Structured SVMs via Soft Constraints
Ofer Meshi, Nathan Srebro, Tamir Hazan
Efficient Video Segmentation Using Parametric Graph Partitioning
Chen-Ping Yu, Hieu Le, Gregory Zelinsky et al.
EgoSampling: Fast-Forward and Stereo for Egocentric Videos
Yair Poleg, Tavi Halperin, Chetan Arora et al.
Ego-Surfing First-Person Videos
Ryo Yonetani, Kris M. Kitani, Yoichi Sato
Eigenwords: Spectral Word Embeddings
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables
Rushil Anirudh, Pavan Turaga, Jingyong Su et al.
ElasticFusion: Dense SLAM Without A Pose Graph
Thomas Whelan, Stefan Leutenegger, Renato Salas Moreno et al.
Elastic-Net Regularization of Singular Values for Robust Subspace Learning
Eunwoo Kim, Minsik Lee, Songhwai Oh
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
Zirui Zhou, Qi Zhang, Anthony Man-Cho So
Embedded Phase Shifting: Robust Phase Shifting With Embedded Signals
Daniel Moreno, Kilho Son, Gabriel Taubin
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding et al.
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter, Jost Springenberg, Joschka Boedecker et al.
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi, Takafumi Kanamori
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
Maurizio Filippone, Raphael Engler
Encoding Based Saliency Detection for Videos and Images
Thomas Mauthner, Horst Possegger, Georg Waltner et al.
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan, David Eigen, Rob Fergus
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
Jianshu Chen, Ji He, Yelong Shen et al.
End-To-End Memory Networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston et al.