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orensemble
- The program implements three large-margin thresholded ensemble algorithms for ordinal regression. It includes an improved RankBoost algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm.
metric-learning_survey_v2
- 关于metric learning的综述，涉及到许多的知识：SVM、kernel、SDP等-This paper surveys the field of distance metric learning from a principle perspective, and includes a broad selection of recent work. In particular, distance metric learning is reviewed under different
Max-Margin-Semi-NMF
- 在NMF中使用SVM的最大边缘思想，提高分类效果。它是有监督的，局限在于2类，当然使用SVM的多类，就会解决该问题。-The resulting basis matrix is used to extract features that maximize the margin of the resulting classifier
Maximum-Margin-Embedding
- 该算法是无监督的，贡献很大。很难得解决了最大边缘的不需要依赖标签信息，就能获得最大边缘的超平面映射-projecting data samples into the most discriminative subspace, where clusters are most well-separated。
Cooperations-in-PSO
- We de ne ve cooperation mechanisms in Particle Swarm Optimisation, loosely inspired by some models occurring in nature, and based on two quan- tities: a help matrix, and a reputation vector. We call these ve mechanisms, respectively, Reciproc
mLMNN2.5.1-WithMT
- mLMNN large margin metric learning 基于最大间隔的度量学习。-large margin metric learning