Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Localized Multiple Kernel Learning With Dynamical Clustering and Matrix Regularization
Bayesian localized multiple kernel learning
Multiple kernel learning algorithms
Multiple kernel clustering based on centered kernel alignment
EasyMKL: A scalable multiple kernel learning algorithm
Approximate kernel k-means: solution to large scale kernel clustering
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization
Theory for the Localized Setting of Learning Kernels
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Sparse Representation With Kernels
Discriminant kernel and regularization parameter learning via semidefinite programming
Sharp analysis of low-rank kernel matrix approximations
Learning a kernel matrix for nonlinear dimensionality reduction
Scalable Kernel Methods via Doubly Stochastic Gradients
An RKHS for multi-view learning and manifold co-regularization
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport
Laplacian regularized low rank subspace clustering
A Scalable Clustering-Based Local Multi-Label Classification Method.
FALKON: An Optimal Large Scale Kernel Method
tracking and modeling focus of attention in meetings .
large scale multiple kernel learning .
Energy-Efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Networks
Six Sigma and Total Quality Management: different day, same soup?
Residual Convolutional CTC Networks for Automatic Speech Recognition