Metric Learning度量学习：**矩阵学习和图学习

DML学习原文链接：http://blog.csdn.net/lzt1983/article/details/7884553

一篇metric learning（DML）的综述文章，对DML的意义、方法论和经典论文做一个介绍，同时对我的研究经历和思考做一个总结。可惜一直没有把握自己能够写好，因此拖到现在。

先列举一些DML的参考资源，以后有时间再详细谈谈。

1. Wikipedia

2. CMU的Liu Yang总结的关于DML的综述页面。对DML的经典算法进行了分类总结，其中她总结的论文非常有价值，也是我的入门读物。

3. ECCV 2010的turorial。

4. Weinberger的页面，上面有LMNN（Distance Metric Learning for Large Margin Nearest Neighbor Classification）的论文、sclides和代码。

5. ITML(Information Throretic Metric Learning)。ITML是DML的经典算法，获得了ICML 2007的best paper award。sclides。

顶级会议上矩阵学习的paper清单：http://blog.csdn.net/lzt1983/article/details/7831524

近2年顶级会议上度量学习相关的论文，数量之多，颇受震动。这其中怕是不乏灌水炒作新概念的文章，看来DML大有前几年sparse coding的势头啊。

ICML 2012

Maximum Margin Output Coding

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

ICML 2011

Learning Discriminative Fisher Kernels

Learning Multi-View Neighborhood Preserving Projections

CVPR 2012

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

Group Action Induced Distances for Averaging and Clustering Linear Dynamical Systems with Applications to the Analysis of Dynamic Visual Scenes

CVPR 2011

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)

ACM MM 2012

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

ICCV 2011

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

ECCV 2012

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

IJCAI 2011

Distance Metric Learning Under Covariate Shift

Learning a Distance Metric by Empirical Loss Minimization

AAAI 2011

Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification

NIPS 2011

Learning a Distance Metric from a Network

Learning a Tree of Metrics with Disjoint Visual Features

Metric Learning with Multiple Kernels

KDD 2012

Random Forests for Metric Learning with Implicit Pairwise Position Dependence

WSDM 2011

Mining Social Images with Distance Metric Learning for Automated Image Tagging

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