Guest Editor’s Introduction to the Special Issue on Domain Adaptation for Vision Applications
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition
Harnessing Lab Knowledge for Real-World Action Recognition
Generalized Transfer Subspace Learning Through Low-Rank Constraint
Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace
Model-Driven Domain Adaptation on Product Manifolds for Unconstrained Face Recognition
Domain Adaptation for Structured Regression
Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images
Graph Matching by Simplified Convex-Concave Relaxation Procedure
SymStereo: Stereo Matching using Induced Symmetry
Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification
Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition
Infinitesimal Plane-Based Pose Estimation