搜索资源列表
Assess
- 文档聚类评估程序,计算查全率和查准率以、F值,C++编程实现-Document Clustering assessment procedures, calculation, recall and precision rate, the value of F, C Programming
CBIR_Relevance
- 该代码为基于内容的图像检索系统CBIR中相关反馈的代码,相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
Analysis-Based-on-Multi-Agent-Search
- 为解决传统搜索引擎个性化的局限性问题,在研究用户感兴趣搜索引擎现状基础上,通过多Agent较全面记录、分析用户搜索的行为,提出了一种新的综合用户搜索行为,构建用户感兴趣搜索引擎研究框架—— 基于多Agent搜索行为分析的用户兴趣模型。研究结果表明,依据用户搜索行为构建用户兴趣模型,使搜索引擎返回结果更贴近用户需求。满足用户个性化服务,提高了信息搜索的查全率和查准率。-In order to solve the limitations of search engine personalizat
facebpn
- This program will give better precision and recall rate as this coding uses Back propagation network
Text-Retrieval
- 信息检索系统从最初的纯手工检索系统业已发展到现在的以信息技术为支撑的检索系统,在这一过程中,适应新的信息资源、信息技术这些检索环境,提高信息检索系统的查全率、查准率和系统响应时间是不变的主题,在众多文本中掌握最有效的信息始终是信息处理的一大目标。围绕向量空间模型设计了一个文本检索系统,介绍向量空间模型的基础上给出了基于它的信息检索系统的一般结构框架和各部分的功能,探讨了系统中所涉及到的关键技术。用向量空间模型进行特征表达,用TF-IDF(Term-Frequency Inverse-Docume
Test
- 用libSVM实现的文本分类,包括训练集导入,训练,生成模型,测试,计算准确率和召回率-Text using libsvm to achieve the classification, including the training set import, training, generation model, test, calculate the precision and recall rate
new
- 本系统通过将基于改进的加权的局域颜色直方图的图像检索方法和全局直方图的图像检索方法相结合,提高查全率和查准率。其中,基于分块局域直方图的检索方法利用了图像中间部分的重要性,将图像平均划分成3×3个子块,取中间一块的图像,计算其与参考位图相应位置的颜色特征距离,再计算原图的颜色直方图与参考位图的颜色特征距离,分别赋予权值后得出的值就是图像之间内容的相似程度。本文引入欧氏距离的相似性度量方法实现图像检索。实验表明,该方法具有较好的查全率和查准率。-The system through a combi
recall_precision
- 图像处理的查准率和查全率的代码,适合用于图像图像的检测,目标的检测的评估-Image processing precision and recall rate code
color-histogram-based-image-system
- 要求设计一个基于颜色直方图的图像检索系统。该系统能够实现对图像的检索功能,例如,在一万幅图像中搜索出与检索图像相似的图像,依相似程度的大小显示出来。最后用查全率和查准率对系统进行评估。-To design a color histogram based image retrieval system. The system can realize the image search function, for example, a square image search and retrieval
A-SHOT-BOUNDARY-DETECTION-ALGORITHM-BASED-ON
- Shot boundary detection is always an important topic in digital video processing. It is the first important task of content-based video retrieval and indexing. In this paper, a new shot boundary detection algorithm is proposed, based on Parti
labinithom
- We will use MatCont to start homoclinic orbits that emanate BT points in several models 1 . Recall that in the GUI of MatCont k is denoted as TTolerance. In all examples, we will set TTolerance=10 − 5 (k). As a rule, the amplitude (A) shou
Precision_Recall_F1-Measure
- 信息检索和自然语言处理中经常会使用这些参数:准确率(Precision)、召回率(Recall)以及综合评价指标(F1-Measure ) -These parameters are often used in information retri and natural language processing (Precision), recall rate (Recall), and comprehensive uation index (F1-Measure).
compute_PR_AP
- Precision Recall Curve
6_29
- 基于逆向匹配的中文分词算法实现,产生词典和测试数据,分词后具有结果分析功能,计算精确度,召回率,F值, -Chinese word segmentation algorithm based on reverse matching, dictionary and test data, with the result after word analysis function, calculation precision and recall rate, F value,
PE_doc_29919
- Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corresponding identification of chance or base case levels of the statistic.
Robust_Face_Landmark
- 在现实世界条件下获取人脸存在较大的变化在形状和遮挡由于不同在姿态、表情、附属品的使用,例如,太阳镜和帽子以及与目标体(e.g. 食物)的交。当前的人脸界标估计方法在这种条件下努力但由于缺乏一种有效的理论方法用于处理局外点。我们提供了一个新奇的方法,称为Robust Cascaded Pose Regression (RCPR),通过检测显式的遮挡且使用鲁棒的形状索引的特征可以减少exposure对于局外点。我们证明RCPR改进先前的界标估计方法在3个通用的人脸数据集上(LFPW, LFW and
PLA_initial
- 感知机算法基础实现 带Accuracy、Recall、Precision、F1 的计算-Perceptron algorithm underlying implementation with Accuracy, Recall, Precision, calculation of F1
PLA_pocket
- PLA口袋算法实现 包含Accuracy、recall、precision、F1四大指标的验证-Verify PLA pocket algorithm contains Accuracy, recall, precision, F1 four indicators
confusion-matrix
- This code is designed for two or more classes instance confusion matrix formation and Calclating 1acuuracy 2.error 3.Sensitivity (Recall or True positive rate) 4.Specificity 5.Precision 6.FPR-False positive rate 7.F_score