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实数编码遗传算法
- (用matlab编写的十进制的遗传算法程序)实数编码遗传算法-(using Matlab prepared by the metric of genetic algorithm) is coded genetic algorithms
face_recognition_LTPPTBSM
- 基于local ternary pattern feature 和 distance transform-based similarity metric 相结合的人脸方法识别技术研究-combining the local ternary pattern feature and distance transform-based similarity metric method for robust face recognition.
EvidentialKNN-with-adaptable-metric
- EvidentialKNN with adaptable metric
theorem
- 直觉模糊半度量空间中的一个公共不动点定理-Intuitionistic fuzzy metric space in a semi-common fixed point theorem
MIMO-IN-WIRELESS-COMMUNICATIONS-
- 本文基于MIMO检测中性能和复杂度的矛盾，结合具体的MIMO 检测技术进行深入研究，致力于提供能有效缓解性能和复杂度矛盾冲 突的技术方案。论文首先介绍MIMO系统的基本模型，随后针对球 译码(Sphere Decoding)检测及其相关技术、搜索空间预定义检测器 (Search Space Predetermined Detector，SSPD)算法、并行计算对检 测算法的加速作用以及自动重传机制(Automatic Retransmission reQuest，ARQ)
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
Cognos-Metric-trouble-shooting
- IBM Cognos Metric问题整理，使用ibm Metric 过程中，遇到问题和相应处理方法。-Cognos Metric trouble shooting
Large-Scale-Metric-Learning
- 经典机器学习方法Large Scale Metric Learning的matlab代码-Classical machine learning methods Large Scale Metric Learning matlab code
Distance-Metric-Learning
- 关于度量学习的一篇经典文章，利用度量学习提高KNN的分类正确率，如果对度量学习有兴趣，这篇是必读的文章-Metric learning about a classic article, the use of metrics to improve learning KNN classification accuracy, if you are interested to measure learning, this is a must read article
itml
- ITML Information theroy metric learning 基于信息理论的度量学习-Information theroy metric learning
mLMNN2.5.1-WithMT
- mLMNN large margin metric learning 基于最大间隔的度量学习。-large margin metric learning
LOMO_XQDA
- 行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards automatic search of a person’s presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and me
ensemble
- 对分类错误的样本所对应权重进行累加得到加权误分类率, 这里我们是基于权重向量而不是其他的错误计算指标来评价分类器的-The weighting of the samples with the wrong classification is weighted by the weighted error rate, where we uate the classifier based on the weight vector rather than the other erroneous met