Estimation

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 $D = \left\{ (\vec{x}_{1}, y_{1}), (\vec{x}_{2}, y_{2}), \ldots, (\vec{x}_{n}, y_{n}) \right\}$, ......

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

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

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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