Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling
A Framework for Robust Subspace Learning
Latent Low-Rank Representation for subspace segmentation and feature extraction
Greedy feature selection for subspace clustering
Bregman Divergence-Based Regularization for Transfer Subspace Learning
Extreme learning machine based supervised subspace learning
Robust regression methods for computer vision: A review
Robust Subspace Segmentation with Block-Diagonal Prior
Extracting shared subspace for multi-label classification
The random subspace method for constructing decision forests
Efficient subspace segmentation via quadratic programming
Robust recovery of signals from a union of subspaces
On the sample complexity of subspace clustering with missing data
Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation
A divide-and-conquer framework for large-scale subspace clustering
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
EROS: Ensemble rough subspaces
Joint covariate selection and joint subspace selection for multiple classification problems
Conjugate gradient on Grassmann manifolds for robust subspace estimation
Robust Subspace Clustering via Tighter Rank Approximation
Sub-sampled Cubic Regularization for Non-convex Optimization
David J. Chalmers The Singularity A Philosophical Analysis
The Market for Corporate Assets: Who Engages in Mergers and Asset Sales and Are There Efficiency Gains?
Combining multiple matchers for a high security fingerprint verification system
Experience Design: Technology for All the Right Reasons
Event Representations with Tensor-based Compositions