estimator

Bias of an estimator

Bias of an estimator Difference between an estimator's expected value from a parameter's true value For broader coverage of this topic, see Bias (stat ......
estimator Bias of an

Proj CDeepFuzz Paper Reading: Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation

## Abstract 背景: 1. the de facto standard to assess the quality of DNNs in the industry is to check their performance (accuracy) on a collected set of ......

Extended Kalman Filter vs. Error State Kalman Filter for Aircraft Attitude Estimation笔记

# EKF与ESKF的对比 ***“Engineers can solve exact problems using numerical approximations, or they can solve approximate problems exactly" - Fred Daum.*** 对 ......
Kalman Filter Estimation Extended Aircraft

[SIGMOD 2022]Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process

# Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process ## 总结 用无限宽度神经网络和高斯过程来等价贝叶斯过程,并利用主动学习提高精度,实现对某个SQL查询的cost估算 ## 动机 ......

Logistic Regression and its Maximum Likelihood Estimation

# 从 Linear Regression 到 Logistic Regression 给定二维样本数据集 $D = \left\{ (\vec{x}_{1}, y_{1}), (\vec{x}_{2}, y_{2}), \ldots, (\vec{x}_{n}, y_{n}) \right\}$, ......

VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator-翻译

摘要:本文介绍了一种单目视觉惯性系统(VINS),用于在各种环境中进行状态估计。单目相机和低成本惯性测量单元(IMU)构成了六自由度状态估计的最小传感器套件。我们的算法通过有界滑动窗口迭代地优化视觉和惯性测量,以实现精确的状态估计。视觉结构是通过滑动窗口中的关键帧来维护的,而惯性度量则是通过关键帧之 ......

Density estimation using Real NVP

[TOC] > [Dinh L, Sohl-Dickstein J. and Bengio S. Density estimation using real nvp. ICLR, 2017.](http://arxiv.org/abs/1605.08803) ## 概 一种可逆的 flow, 感觉很 ......
estimation Density using Real NVP

使用 TensorFlow 自动微分和神经网络功能估算线性回归的参数(Estimate parameters for linear regression using automatic differentiation or neural network functions of TensorFlow)

大多数的深度学习框架至少都会具备以下功能: (1)张量运算 (2)自动微分 (3)神经网络及各种神经层 TensorFlow 框架亦是如此。在《深度学习全书 公式+推导+代码+TensorFlow全程案例》—— 洪锦魁主编 清华大学出版社 ISBN 978-7-302-61030-4 这本书第3章 ......

Feb 2023-Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay

将 replay memory视为经验 replay memory MDP (RM-MDP),并通过求解该经验MDP获得一个保守估计。MDP是非平稳的,可以通过采样有效地更新。基于保守估计设计了价值和策略正则化器,并将其与经验回放(CEER)相结合来正则化DQN的学习。 ......

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

Gupta U., Ferber A. M., Dilkina B. and Steeg G. V. Controllable guarantees for fair outcomes via contrastive information estimation. AAAI, 2021. 概 本文提 ......

2020CVPR_Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

1. motivation 收到图像编辑软件的启发 2. Contribution (1)无监督 (2)设计图像高阶曲线适应适合像素级映射,通过迭代自身 (3)设计了四个无参考损失函数 3. Network 3.1 DCE-Net DCE-Net: 是由6个Conv2D(3x3)+ relu,分别输 ......

[State Estimation] 2.2.8 Passing a Gaussian throught a Nonlinearity

将高斯 PDF 通过非线性函数,结果使用高斯变换表示。 这涉及到 linearization 。 问题的定义是有 $\mathbf{x}$ 符合高斯噪声(即已知 $p(\mathbf{x})$),有变换 $g(\cdot): \mathbf{x} \to \mathbf{y}$(即已知 $p(\ma ......

[State Estimation] 4.2.8 Bayes Filter

PF 理解不深,若干年前 coursera 上某门课程做了填空式编程题,仅此而已。 重点应该有二: weight 定义方法; Resampling 方法,减少例子数量,维持系统计算量。 Madow Resampling 图示如下,参考 https://youtu.be/DhxRxG5bSrg?t=1 ......
Estimation Filter State Bayes

[State Estimation] 4.2.3 Extended Kalman Filter

![](https://img2023.cnblogs.com/blog/1104994/202304/1104994-20230418001104165-1360657371.jpg) ![](https://img2023.cnblogs.com/blog/1104994/202304/1104... ......
Estimation Extended Kalman Filter State

[State Estimation] 4.2.5 Iterated Extended Kalman Filter

![](https://img2023.cnblogs.com/blog/1104994/202304/1104994-20230418001437718-1832787313.jpg) ![](https://img2023.cnblogs.com/blog/1104994/202304/1104... ......
Estimation Iterated Extended Filter Kalman

[State Estimation] 4.2.2 Bayes Filter

Bayes Filter 是理论模型,给出一个框架。实际使用过程中,加上一系列假设条件,得到实际可以用的 Filter 。 模型是理论的,不能实现体现在两点: PDF(Probability Density) 通过非线性 observation model 与 motion model ; 噪声是 ......
Estimation Filter State Bayes

Density estimation using real nvp

Density estimation using real nvp 参考资料: 苏剑林. (Aug. 26, 2018). 《细水长flow之RealNVP与Glow:流模型的传承与升华 》[Blog post]. Retrieved from https://kexue.fm/archives/5 ......
estimation Density using real nvp

Vins-Mono 阅读笔记——estimator

vins_estimator 概述 基本上VINS里面绝大部分功能都在这个package下面,包括IMU数据的处理(前端),初始化(我觉得可能属于是前端),滑动窗口(后端),非线性优化(后端),关键帧的选取(部分内容)(前端)。我第一次看的时候,总是抱有一个疑问,就是为什么把这么多内容全都放在这一个 ......
Vins-Mono estimator 笔记 Vins Mono

随机森林n_estimators 学习曲线

随机森林 单颗树与随机森林的的分对比 # 导入包 from sklearn.datasets import load_wine from sklearn.model_selection import train_test_split from sklearn.tree import Decision ......
n_estimators estimators 曲线 森林

Micro-Estimates of Wealth for all Low 数据搜集

Micro-Estimates of Wealth for all Low- and Middle-Income Countries 1. The first test uses data from 15 LMICs that have collected and published census ......

GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes

注:刚入门depth estimation,这也是以后的主要研究方向,欢迎同一个方向的加入QQ群(602708168)交流。 1. 论文简介 论文题目:GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of P ......
Estimation GeoLayout Geometry Driven Layout
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