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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014
Studying Relationships between Human Gaze, Description, and Computer Vision CVPR 2013
A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting ICCV 2013
Distributed $k$-means and $k$-median Clustering on General Topologies NIPS 2013
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013
Feature Multi-Selection among Subjective Features ICML 2013
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem COLT 2013
Training Energy-Based Models for Time-Series Imputation JMLR 2013
Fine-Grained Crowdsourcing for Fine-Grained Recognition CVPR 2013
A Non-parametric Framework for Document Bleed-through Removal CVPR 2013
On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012
A Collaborative Mechanism for Crowdsourcing Prediction Problems NIPS 2011
Ranking annotators for crowdsourced labeling tasks NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NIPS 2009
Ranking Categorical Features Using Generalization Properties JMLR 2008
Regularized Learning with Networks of Features NIPS 2008
Spam Filtering Using Statistical Data Compression Models JMLR 2006
Shallow Parsing using Specialized HMMs JMLR 2002
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002