DML學習原文鏈接：http://blog.csdn.net/lzt1983/article/details/7884553

一篇metric learning（DML）的綜述文章，對DML的意義、方法論和經典論文做一個介紹，同時對我的研究經歷和思考做一個總結。可惜一直沒有把握自己能夠寫好，因此拖到現在。

先列舉一些DML的參考資源，以后有時間再詳細談談。

1. Wikipedia

2. CMU的Liu Yang總結的關于DML的綜述頁面。對DML的經典算法進行了分類總結，其中她總結的論文非常有價值，也是我的入門讀物。

3. ECCV 2010的turorial。

4. Weinberger的頁面，上面有LMNN（Distance Metric Learning for Large Margin Nearest Neighbor Classification）的論文、sclides和代碼。

5. ITML(Information Throretic Metric Learning)。ITML是DML的經典算法，獲得了ICML 2007的best paper award。sclides。

頂級會議上矩陣學習的paper清單：http://blog.csdn.net/lzt1983/article/details/7831524

近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。

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

總結

以上是生活随笔為你收集整理的Metric Learning度量学习：**矩阵学习和图学习的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。