Efficient Computing

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013 Analog readout for optical reservoir computers NeurIPS 2012 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012 DARWIN: A Framework for Machine Learning and Computer Vision Research and Development JMLR 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Large-scale Linear Support Vector Regression JMLR 2012 NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012 One Permutation Hashing NeurIPS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Super-Bit Locality-Sensitive Hashing NeurIPS 2012 Timely Object Recognition NeurIPS 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Dimensionality Reduction for Spectral Clustering AISTATS 2011 Fast and Accurate k-means For Large Datasets NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 MSVMpack: A Multi-Class Support Vector Machine Package JMLR 2011 Proximal Methods for Hierarchical Sparse Coding JMLR 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011