Papers
173,579 papers found
Scalable Inference of Overlapping Communities
Prem Gopalan, Sean Gerrish, Michael Freedman et al.
Scalable Inference on Kingman’s Coalescent using Pair Similarity
Dilan Gorur, Levi Boyles, Max Welling
Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo, Yousef Saad
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor et al.
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang et al.
Searching for objects driven by context
Bogdan Alexe, Nicolas Heess, Yee W. Teh et al.
Security Analysis of Online Centroid Anomaly Detection
Marius Kloft, Pavel Laskov
Selecting Diverse Features via Spectral Regularization
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Selective Labeling via Error Bound Minimization
Quanquan Gu, Tong Zhang, Jiawei Han et al.
Selective Sampling and Active Learning from Single and Multiple Teachers
Ofer Dekel, Claudio Gentile, Karthik Sridharan
*SEM 2012 Shared Task: Resolving the Scope and Focus of Negation
Roser Morante, Eduardo Blanco
Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman, Fei Sha
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Shaili Jain et al.
Semiparametric Principal Component Analysis
Fang Han, Han Liu
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-paz, Jose M. Hernández-lobato, Bernhard Schölkopf
Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen, Michael W. Mahoney
Shifting Weights: Adapting Object Detectors from Image to Video
Kevin Tang, Vignesh Ramanathan, Li Fei-fei et al.
Sign Language Recognition using Sub-Units
Helen Cooper, Eng-Jon Ong, Nicolas Pugeault et al.
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar, Hal Daume
Sketch-Based Linear Value Function Approximation
Marc Bellemare, Joel Veness, Michael Bowling
Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz, Daniel Stefankovic
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson