Co-occurring keywords · papers mentioning both
Papers
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
CVPR 2016
Dual Space Gradient Descent for Online Learning
NeurIPS 2016
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold
CVPR 2016
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis
CVPR 2016
Fast Algorithms for Linear and Kernel SVM+
CVPR 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods
ICML 2016
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
RSS 2016
Generalized Discriminant Analysis (GDA) for Improved i-Vector Based Speaker Recognition
Interspeech 2016
Gromov-Wasserstein Averaging of Kernel and Distance Matrices
ICML 2016
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels
JMLR 2016
Interpretable Distribution Features with Maximum Testing Power
NeurIPS 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
AISTATS 2016
Kernel Mean Shrinkage Estimators
JMLR 2016
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
NeurIPS 2016
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
CVPR 2016
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time
ICML 2016
Large Scale Online Kernel Learning
JMLR 2016
Learning Kernels with Random Features
NeurIPS 2016
Learning Theory for Distribution Regression
JMLR 2016
Low-Rank Regression with Tensor Responses
NeurIPS 2016
Megaman: Scalable Manifold Learning in Python
JMLR 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
NeurIPS 2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
NeurIPS 2016
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map
CVPR 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint
JMLR 2016