Efficient Computing

Fisher and VLAD with FLAIR CVPR 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Locally Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 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 Multivariate Regression with Calibration NeurIPS 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 Parallel Double Greedy Submodular Maximization NeurIPS 2014 pystruct - Learning Structured Prediction in Python JMLR 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Speeding Up Tracking by Ignoring Features CVPR 2014 Subspace Embeddings for the Polynomial Kernel NeurIPS 2014 The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014 Abnormal Event Detection at 150 FPS in MATLAB ICCV 2013 Adaptive Compressed Tomography Sensing CVPR 2013 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013