Application Areas

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014 Learning and Evaluation in Presence of Non-i.i.d. Label Noise AISTATS 2014 Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014 Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 Locally Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Memory Efficient Kernel Approximation ICML 2014 Minimal Scene Descriptions from Structure from Motion Models CVPR 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 Packing and Padding: Coupled Multi-index for Accurate Image Retrieval CVPR 2014 Parallel Double Greedy Submodular Maximization NeurIPS 2014 Predicting Failures of Vision Systems CVPR 2014 Predicting User Annoyance Using Visual Attributes CVPR 2014 pystruct - Learning Structured Prediction in Python JMLR 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Ranking via Robust Binary Classification NeurIPS 2014