Papers
173,579 papers found
Scalable Simple Random Sampling and Stratified Sampling
Xiangrui Meng
Scalable Sparse Subspace Clustering
Xi Peng, Lei Zhang, Zhang Yi
Scale Invariant Conditional Dependence Measures
Sashank J Reddi, Barnabas Poczos
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
Ruobing Wu, Yizhou Yu, Wenping Wang
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
Elad Gilboa, Yunus Saatçi, John Cunningham et al.
Scaling the Indian Buffet Process via Submodular Maximization
Colorado Reed, Ghahramani Zoubin
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning
David Weiss, Ben Taskar
Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers
Phillip Isola, Ce Liu
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
Jamie Shotton, Ben Glocker, Christopher Zach et al.
Scene Parsing by Integrating Function, Geometry and Appearance Models
Yibiao Zhao, Song-Chun Zhu
Scene Text Localization and Recognition with Oriented Stroke Detection
Lukas Neumann, Jiri Matas
Scene Text Recognition Using Part-Based Tree-Structured Character Detection
Cunzhao Shi, Chunheng Wang, Baihua Xiao et al.
Scoring anomalies: a M-estimation formulation
Stéphan Clémençon, Jérémie Jakubowicz
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler, Mark Steyvers
Second Order Online Collaborative Filtering
Jing Lu, Steven Hoi, Jialei Wang
Seeking the Strongest Rigid Detector
Rodrigo Benenson, Markus Mathias, Tinne Tuytelaars et al.
Segmentation Driven Object Detection with Fisher Vectors
Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
Segment-Tree Based Cost Aggregation for Stereo Matching
Xing Mei, Xun Sun, Weiming Dong et al.
Segregating Event Streams and Noise with a Markov Renewal Process Model
Dan Stowell, Mark D. Plumbley
Selective Transfer Machine for Personalized Facial Action Unit Detection
Wen-Sheng Chu, Fernando De La Torre, Jeffery F. Cohn
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data
Johannes Bauer, Stefan Wermter
Self-Paced Learning for Long-Term Tracking
James S. Supancic III, Deva Ramanan
Semantically-Based Human Scanpath Estimation with HMMs
Huiying Liu, Dong Xu, Qingming Huang et al.
Semantic-Aware Co-indexing for Image Retrieval
Shiliang Zhang, Ming Yang, Xiaoyu Wang et al.