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Feature Learning

860 papers

Papers per year

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65
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Papers

MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
Robust and Discriminative Self-Taught Learning ICML 2013
Exact Rule Learning via Boolean Compressed Sensing ICML 2013
Max-Margin Multiple-Instance Dictionary Learning ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Selective Labeling via Error Bound Minimization NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Searching for objects driven by context NIPS 2012
Discriminatively Trained Sparse Code Gradients for Contour Detection NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
A lattice filter model of the visual pathway NIPS 2012
Non-linear Metric Learning NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
Entropy Estimations Using Correlated Symmetric Stable Random Projections NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Multi-task Vector Field Learning NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012