Regularization techniques for high-dimensional data analysis
Going deeper into action recognition: A survey
Non-convex regularized self-representation for unsupervised feature selection
Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data
Semi-supervised learning through adaptive Laplacian graph trimming
Discriminative transfer learning with sparsity regularization for single-sample face recognition
A novel companion objective function for regularization of deep convolutional neural networks
Group sparse autoencoder
Person re-identification with block sparse recovery
Kinship verification using neighborhood repulsed correlation metric learning
Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD)
Robust scene matching method based on sparse representation and iterative correction
Visual tracking with structured patch-based model
Learning spatially regularized similarity for robust visual tracking
Cell tracking using deep neural networks with multi-task learning
Plant cell tracking using Kalman filter based local graph matching
Multimedia news QA: Extraction and visualization integration with multiple-source information
A novel correspondence-based face-hallucination method