Papers
Spectral Learning Techniques for Weighted Automata, Transducers, and Grammars
Borja Balle, Ariadna Quattoni, Xavier Carreras
2014
EMNLP
Spectral Methods for Indian Buffet Process Inference
Hsiao-Yu Tung, Alexander J Smola
Spectral Methods for Supervised Topic Models
Yining Wang, Jun Zhu
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou et al.
Spectral Regularization for Max-Margin Sequence Tagging
Ariadna Quattoni, Borja Balle, Xavier Carreras et al.
Spectral Unsupervised Parsing with Additive Tree Metrics
Ankur P. Parikh, Shay B. Cohen, Eric P. Xing
Speech-Enabled Hybrid Multilingual Translation for Mobile Devices
Krasimir Angelov, Björn Bringert, Aarne Ranta
Speeding Up Tracking by Ignoring Features
Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten
SphereFlow: 6 DoF Scene Flow from RGB-D Pairs
Michael Hornacek, Andrew Fitzgibbon, Carsten Rother
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Shiwei Lan, Bo Zhou, Babak Shahbaba
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong et al.
SPMF: A Java Open-Source Pattern Mining Library
Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche et al.
Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs
Jon Parker, Hans Engler
Sprinkling Topics for Weakly Supervised Text Classification
Swapnil Hingmire, Sutanu Chakraborti
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu, Bo Huang, John Wright et al.
SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity
Pingping Huang, Baobao Chang
Stable and Efficient Representation Learning with Nonnegativity Constraints
Tsung-Han Lin, H. T. Kung
Stable and Informative Spectral Signatures for Graph Matching
Nan Hu, Raif M. Rustamov, Leonidas Guibas
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning
Bang Zhang, Yi Wang, Yang Wang et al.
Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares
Ajad Chhatkuli, Daniel Pizarro, Adrien Bartoli
Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses
Meina Kan, Shiguang Shan, Hong Chang et al.
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance
Simone Romano, James Bailey, Vinh Nguyen et al.
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction
Rico Jonschkowski, Oliver Brock
Statistical Analysis of Metric Graph Reconstruction
Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman
Statistical analysis of stochastic gradient methods for generalized linear models
Panagiotis Toulis, Edoardo Airoldi, Jason Rennie