JZTXT

features machine_features distro_features machine

支持向量机 SVM（Supported Vector Machine）笔记

简单可视化对偶性： 图片出自：【数之道25】机器学习必经之路-SVM支持向量机的数学精华 ......
向量 Supported Machine 笔记 Vector

【论文阅读笔记】【Image Retrieval】 Global Features are All You Need for Image Retrieval and Reranking

SuperGlobal ICCV 2023 读论文思考的问题 论文试图解决什么问题？ 图片检索方法通常由粗粒度图片检索和精确的结果重排列两个模块组成。人们通常认为图片的 local feature 在结果重排列中是不可或缺的，但对大量的 local feature 的计算需要较高的计算资源和时间 能 ......
Retrieval Image Reranking Features 笔记

[937] Combine different shapefiles and remove duplicate features

In arcpy, you can combine different shapefiles and remove duplicate features using the arcpy.management.Merge tool and the arcpy.management.DeleteIden ......
shapefiles different duplicate features Combine

Pretty State Machine Patterns in Rust

Photo - Samuel Zeller Photo Pretty State Machine Patterns in Rust Ana, Hoverbear 🐻 Articles A computer scientist working in open source towards a mor ......
Patterns Machine Pretty State Rust

A Learning Method for Feature Correspondence with Outliers读书笔记

A Learning Method for Feature Correspondence with Outliers 2022年 论文地址：A Learning Method for Feature Correspondence with Outliers | IEEE Conference Pub ......
Correspondence Learning Outliers Feature 笔记

SuperGlue: Learning Feature Matching with Graph Neural Networks论文笔记

SuperGlue: Learning Feature Matching with Graph Neural Networks 源码: github.com/magicleap/SuperGluePretrainedNetwork 背景： 主要解决图像中点之间的对应关系。 主要方法： 上图为该方法的 ......
SuperGlue Learning Matching Networks Feature

【论文阅读笔记】【OCR-文本检测】 Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection

CVPR 2022 读论文思考的问题 论文试图解决什么问题？ 一些基于 DETR 的方法在 ICDAR15, MLT17 等文字尺度变化范围较大的数据集上文本检测的效果不佳 DETR 运用的高层特征图难以捕捉小文字的特征，且会引入很多无关的背景噪声，增加了检测的困难程度 即使使用 DETR 的改进模 ......
Detection Grouping Sampling 文本 Feature

[933] In ArcPy, how to get the geometry of a feature from a shapefile

In ArcPy, you can get the geometry of a feature from a shapefile using the SearchCursor or UpdateCursor and the SHAPE@ token to access the geometry of ......
shapefile geometry feature ArcPy from

[VM] The JavaScript Virtual Machine

Table of Content Introudction to VMs CPU - Understanding the Pysical Machine VMs - Arrays, Objects, functions, prototype chains DepotExplorer: collect ......
JavaScript Machine Virtual The VM

openLayer移除Feature时报错

问题 在功能中，点击起点按钮则在地图中标记“起点”图标，当再次点击起点按钮时需要先清空之前的“起点”图标，再重新添加。 但此时控制台报错了： 错误代码： 在添加点之前，先执行了vectorSource.clear(),导致remove时，vectorSource.getFeatures()其实是空数 ......
openLayer 时报 Feature

ModuleNotFoundError: No module named 'yellowbrick.features.importances'

报错：ModuleNotFoundError: No module named 'yellowbrick.features.importances' 改为： from yellowbrick.features import FeatureImportances from sklearn.ensemb ......
ModuleNotFoundError importances yellowbrick features module

[922] Implementation of zooming to selected features by Python

ref: ArcPy.mp Get Selected Features Extent ref: Python/ArcPy classes/Geometry # Set the path to your project file (.aprx) project_file = r"Map 1.3 Her ......
Implementation features selected zooming Python

Paper Reading: Sample and feature selecting based ensemble learning for imbalanced problems

为了克服现有集成方法的缺点，本文提出一种新的混合集成策略——样本和特征选择混合集成学习 SFSHEL。SFSHEL 考虑基于聚类的分层对大多数样本进行欠采样，并采用滑动窗口机制同时生成多样性的特征子集。然后将经过验证训练的权重分配给不同的基学习器，最后 SFSHEL 通过加权投票进行预测。SFSHE... ......
imbalanced selecting ensemble learning problems

Nginx配置错误：connect() failed (10061: No connection could be made because the target machine actively refused it) while connecting to upstream

问题描述 今天本打算学一下Nginx反向代理发送请求到OpenResty(其实也就是个Nginx，可以把它理解成Anaconda中的python版本)，再通过OpenResty使用Lua脚本向Redis或数据库查找缓存来着，在配环境的时候报了个502错误。 我把我的环境描述下，这样如果有遇到这个问题 ......
connection connecting actively upstream 错误

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 关键词：GRU、Encoder-Decoder 📜 研究主题 提出了Encoder-Decoder结构，采用两 ......
Encoder-Decoder Representations Statistical Translation Learning

【Unity3D】Renderer Feature简介

1 3D 项目迁移到 URP 项目后出现的问题 ​ 3D 项目迁移至 URP 项目后，会出现很多渲染问题，如：材质显示异常、GL 渲染不显示、多 Pass 渲染异常、屏幕后处理异常等问题。下面将针对这些问题给出一些简单的解决方案。 ​ URP 官方教程和 API 详见→Universal RP 文档 ......
Renderer Unity3D Feature 简介 Unity3

[论文阅读] Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization 论文源码：https://github.com/YBZh/EFDM 1. Introduction 传统的特征分布匹配 ......
Generalization Distribution Arbitrary Matching Transfer

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

目录概Fi-GNN代码 Li Z., Cui Z., Wu S., Zhang X. and Wang L. Fi-GNN: Modeling feature interactions via graph neural networks for ctr prediction. CIKM, 2019. ......
Interactions Prediction Modeling Networks Feature

机器学习经典教材《模式识别与机器学习》，Pattern Recognition and Machine Learning，PRML官方开放免费下载

微软剑桥研究院实验室主任Christopher Bishop的经典著作《模式识别与机器学习》，Pattern Recognition and Machine Learning，简称PRML，被微软“开源”了。 本书介绍&下载页：（书的介绍页面） https://www.microsoft.com/e ......
机器 Recognition Learning 教材 Pattern

AES key — encoded in the machine readable zone of a European ePassport

AES key — encoded in the machine readable zone of a European ePassport 题目地址 AES key — encoded in the machine readable zone of a European ePassport 解题过 ......
ePassport European readable encoded machine

java中的异步任务处理和Feature接口

简介 Java并发包提供了一套框架，大大简化了执行异步任务所需要的开发。框架引入了“执行服务”的概念，封装了任务执行的细节，对任务提交者而言，他可以关注任务本身，如提交任务、获取结果、取消任务。而不用关注任务执行的细节。 基本接口 ①Runnable和Callable: 表示要执行的任务 ②Exce ......
接口 任务 Feature java

EF Core – 8.0 new features

参考 Docs – What's New in EF Core 8 Support DateOnly and TimeOnly ......
features Core 8.0 new EF

Density-invariant Features for Distant Point Cloud Registration论文阅读

Density-invariant Features for Distant Point Cloud Registration 2023 ICCV *Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo*; Pr ......
Density-invariant Registration invariant Features Density

如何使用 TypeScript 的 module augmentation 技术增强 Spartacus Feature Library

module augmentation 技术是一种强大的 TypeScript 功能，它允许开发人员在不修改原始代码的情况下扩展现有模块的功能。这种技术在 Angular 生态系统中的应用尤为广泛，特别是在构建功能库和插件时，以确保代码的可维护性和可扩展性。 概述 Module augmentati ......
augmentation TypeScript Spartacus Feature Library

mlpack is an intuitive, fast, and flexible header-only C++ machine learning library

https://github.com/mlpack/mlpack README.md a fast, header-only machine learning library Home | Documentation | Community | Help | IRC Chat Download: c ......
header-only intuitive flexible learning machine

mapboxgl的地图事件输出事件时参数不带features属性

map.on("click", "china", (e) => { console.log(e); console.log(e.features); }); 很疑惑？事件在输出时，features给过滤掉了 ......
事件 mapboxgl features 属性 参数

Machine Learning for Beginners(scikit-learn module)

Machine Learning Common Lifycycle Import the Data Clean the Data Split the Data into Training/Test Sets Create a Model Train the Model Make Prediction ......
scikit-learn Beginners Learning Machine scikit

[881] Import symbology to a feature layer

Ref: Import symbology to a feature layer The implementation method is different from ArcGIS. The main difference is that tools are embedded in the top ......
symbology feature Import layer 881

安装 MyEclipse 出现 "An error occurred while copying software to your machine" 的一个解决方法

安装 MyEclipse 时出现 An error occurred while copying software to your machine 字样，有部分文章提出可能是因为之前安装没有完全卸载。比如 MyEclipse（不论版本是啥）卸载后重新安装，提示：拷贝到计算机时出错；问题解决方案：。 ......
quot MyEclipse occurred software copying

feast 开源feature store

对于机器学习特征处理是一个比较重要，特征的质量会严重影响模型的质量，而且很多时候我们都是希望实时的特征数据feast 是一个开源的特征存储实现，包含了离线以及实时特征的存储以及获取（包含了sdk，可以进行特征的获取） 参考架构 包含的组件:registry： 对象存储，持久化特征，我们可以通过sdk ......
feature feast store
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