Papers
Structured Matrix Recovery via the Generalized Dantzig Selector
Sheng Chen, Arindam Banerjee
Structured Prediction Energy Networks
David Belanger, Andrew McCallum
Structured Prediction of Unobserved Voxels From a Single Depth Image
Michael Firman, Oisin Mac Aodha, Simon Julier et al.
Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.
Structured Receptive Fields in CNNs
Jorn-Henrik Jacobsen, Jan van Gemert, Zhongyu Lou et al.
Structured Regression Gradient Boosting
Ferran Diego, Fred A. Hamprecht
Structured Sparse Regression via Greedy Hard Thresholding
Prateek Jain, Nikhil Rao, Inderjit S Dhillon
Structure-From-Motion Revisited
Johannes L. Schonberger, Jan-Michael Frahm
Structure From Motion With Objects
Marco Crocco, Cosimo Rubino, Alessio Del Bue
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Zhiwei Deng, Arash Vahdat, Hexiang Hu et al.
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling
Ru He, Jin Tian, Huaiqing Wu
Structure Learning of Partitioned Markov Networks
Song Liu, Taiji Suzuki, Masashi Sugiyama et al.
Structure-Leveraged Methods in Breast Cancer Risk Prediction
Jun Fan, Yirong Wu, Ming Yuan et al.
Student Skill Models in Adaptive Testing
Martin Plajner, Jiří Vomlel
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang et al.
Sublabel-Accurate Relaxation of Nonconvex Energies
Thomas Mollenhoff, Emanuel Laude, Michael Moeller et al.
Sublinear Time Orthogonal Tensor Decomposition
Zhao Song, David Woodruff, Huan Zhang
Sub-sampled Newton Methods with Non-uniform Sampling
Peng Xu, Jiyan Yang, Fred Roosta et al.
Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming
Yongfang Cheng, Yin Wang, Mario Sznaier et al.
Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection
Dhananjay Ram, Afsaneh Asaei, Hervé Bourlard
Subspace Learning with Partial Information
Alon Gonen, Dan Rosenbaum, Yonina C. Eldar et al.
Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models
Lahiru Samarakoon, Khe Chai Sim
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling
Mittul Singh, Clayton Greenberg, Youssef Oualil et al.
Succinct Data Structures for NLP-at-Scale
Matthias Petri, Trevor Cohn
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha et al.