Papers
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation
Qixing Huang, Yuxin Chen, Leonidas Guibas
Scalable Variational Bayesian Matrix Factorization with Side Information
Yong-Deok Kim, Seungjin Choi
Scale Adaptive Blind Deblurring
Haichao Zhang, Jianchao Yang
Scale-space Processing Using Polynomial Representations
Gou Koutaki, Keiichi Uchimura
Scaling Distributed Machine Learning with the Parameter Server
Mu Li, David G. Andersen, Jun Woo Park et al.
2014
OSDI
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch
Partha Talukdar, William Cohen
Scaling Nonparametric Bayesian Inference via Subsample-Annealing
Fritz Obermeyer, Jonathan Glidden, Eric Jonas
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang, Peter Wonka, Jieping Ye
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
Timothy Mann, Shie Mannor
Scaling-up Importance Sampling for Markov Logic Networks
Deepak Venugopal, Vibhav G Gogate
Scaling Up Robust MDPs using Function Approximation
Aviv Tamar, Shie Mannor, Huan Xu
SCAMS: Simultaneous Clustering and Model Selection
Zhuwen Li, Loong-Fah Cheong, Steven Zhiying Zhou
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization
Wonsik Kim, Kyoung Mu Lee
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo
Bo Dong, Kathleen D. Moore, Weiyi Zhang et al.
Scene-Independent Group Profiling in Crowd
Jing Shao, Chen Change Loy, Xiaogang Wang
Scene Labeling Using Beam Search Under Mutex Constraints
Anirban Roy, Sinisa Todorovic
Scene Parsing with Object Instances and Occlusion Ordering
Joseph Tighe, Marc Niethammer, Svetlana Lazebnik
Scene Signatures: Localised and Point-less Features for Localisation
Colin McManus, Ben Upcroft, Paul Newmann
Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation
Sameer Pradhan, Xiaoqiang Luo, Marta Recasens et al.
SeamSeg: Video Object Segmentation using Patch Seams
S. Avinash Ramakanth, R. Venkatesh Babu
Search-Aware Tuning for Machine Translation
Lemao Liu, Liang Huang
Searching for Higgs Boson Decay Modes with Deep Learning
Peter J Sadowski, Daniel Whiteson, Pierre Baldi
Second-Order Shape Optimization for Geometric Inverse Problems in Vision
Jonathan Balzer, Stefano Soatto
Seeded Graph Matching for Correlated Erdos-Renyi Graphs
Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe
Seeing 3D Chairs: Exemplar Part-based 2D-3D Alignment using a Large Dataset of CAD Models
Mathieu Aubry, Daniel Maturana, Alexei A. Efros et al.