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Representation Learning

18863 directly classified papers

Papers per year

Papers

Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008
Supervised Dictionary Learning NIPS 2008
Manifold Learning: The Price of Normalization JMLR 2008
Visualizing Data using t-SNE JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Learning Balls of Strings from Edit Corrections JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Universal Multi-Task Kernels JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
Differentiable Sparse Coding NIPS 2008