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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Mixture of time-warped trajectory models for movement decoding NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Random Projections for $k$-means Clustering NIPS 2010
Structured Prediction Cascades AISTATS 2010
Practical Large-Scale Optimization for Max-norm Regularization NIPS 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010
Sensor Placement for Improved Robotic Navigation RSS 2010
MOA: Massive Online Analysis JMLR 2010
The SHOGUN Machine Learning Toolbox JMLR 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Linear-time Algorithms for Pairwise Statistical Problems NIPS 2009
Accurate rough terrain estimation with space-carving kernels RSS 2009
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008