上次大師兄回上海，跟導師以及師兄弟吃飯。談到我研究生時選的DML的方向，我還是覺得這個領域相對比較艱深，近幾年一直沒有大的進展，而且憑直覺認爲DML相關的最近的paper不會特別多。導師笑而不語。
回來做了一點功課，蒐羅了這2年頂級會議上度量學習相關的論文，數量之多，頗受震動。這其中怕是不乏灌水炒作新概念的文章，看來DML大有前幾年sparse coding的勢頭啊。
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
A Hybrid Algorithm for Convex Semidefinite Optimization
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Similarity Learning for Provably Accurate Sparse Linear Classification
Learning Discriminative Fisher Kernels
Learning Multi-View Neighborhood Preserving Projections
Order Determination and Sparsity-Regularized Metric Learning for Adaptive Visual Tracking
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning
Unsupervised Metric Fusion by Cross Diffusion
Learning Hierarchical Similarity Metrics
Large Scale Metric Learning from Equivalence Constraints
Neighborhood Repulsed Metric Learning for Kinship Verification
Learning Robust and Discriminative Multi-Instance Distance for Cost Effective Video Classification
PCCA: a new approach for distance learning from sparse pairwise constraints
A Scalable Dual Approach to Semidefinite Metric Learning
AdaBoost
on Low-Rank PSD Matrices for Metric Learning with Applications in Computer Aided Diagnosis
Adaptive Metric Differential Tracking (HUST)
Tracking Low Resolution Objects by Metric Preservation (HUST)
Optimal Semi-Supervised Metric Learning for Image Retrieval
Low Rank Metric Learning for Social Image Retrieval
Activity-Based Person Identification Using Sparse Coding and Discriminative Metric Learning
Deep Nonlinear Metric Learning with Independent Subspace Analysis for Face Verification
ACM MM 2011
Biased Metric Learning for Person-Independent Head Pose Estimation
Learning Mixtures of Sparse Distance Metrics for Classification and Dimensionality Reduction
Unsupervised Metric Learning for Face Identification in TV Video
Random Ensemble Metrics for Object Recognition
Learning Nonlinear Distance Functions using Neural Network for Regression with Application to Robust Human Age Estimation
Learning parameterized histogram kernels on the simplex manifold for image and action classification
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost
Dual-force Metric Learning for Robust Distractor Resistant Tracker
Learning to Match Appearances by Correlations in a Covariance Metric Space
Image Annotation Using Metric Learning in Semantic Neighbourhoods
Measuring Image Distances via Embedding in a Semantic Manifold
Supervised Earth Mover’s Distance Learning and Its Computer Vision Applications
Learning Class-to-Image Distance via Large Margin and L1-norm Regularization
Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling
Distance Metric Learning Under Covariate Shift
Learning a Distance Metric by Empirical Loss Minimization
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification
Learning a Distance Metric from a Network
Learning a Tree of Metrics with Disjoint Visual Features
Metric Learning with Multiple Kernels
Random Forests for Metric Learning with Implicit Pairwise Position Dependence
WSDM 2011
Mining Social Images with Distance Metric Learning for Automated Image Tagging