Hiroaki Kubo – Medium

Hiroaki Kubo

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Hiroaki Kubo

Building a Multi Layer Perceptron from Scratch

I will share the code and description of how I built a multi-layer perceptron from scratch. The code is here.

Aug 20, 2023

Building a Multi Layer Perceptron from Scratch

Aug 20, 2023

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Hiroaki Kubo

Implementing Self-Calibration for Perspective Camera

We describe a method for self-calibrating a perspective projection camera. First, we show that if we give an unknown called projective…

Jan 4

Implementing Self-Calibration for Perspective Camera

Jan 4

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Hiroaki Kubo

Python Implementation of Ellipse Fitting

Abstract

Jun 25, 2023

Python Implementation of Ellipse Fitting

Jun 25, 2023

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Hiroaki Kubo

Convert Equirectangular Image to Cubemap Image

Equirectangular and cubemap

May 21, 2023

Convert Equirectangular Image to Cubemap Image

May 21, 2023

Pinned

Hiroaki Kubo

Estimate Rotation Matrix from Corresponding Point Cloud

Abstract

Mar 18, 2023

Estimate Rotation Matrix from Corresponding Point Cloud

Mar 18, 2023

Hiroaki Kubo

Implementing Gaussian Process Regression

In general, Gaussian process is defined as a probability distribution over the function y(x), let the joint distribution of the values of…

Jun 30

Implementing Gaussian Process Regression

Jun 30

Hiroaki Kubo

Review of June 2024

The main personal development outputs for June are as follows.

Jun 29

Review of June 2024

Jun 29

Hiroaki Kubo

Fitting Trigonometric Functions Using the Nadaraya-Watson Model

Kernel regression model can be motivated in terms of kernel density estimation. Let the training set be (xn,tn), and to estimate the…

Jun 16

Fitting Trigonometric Functions Using the Nadaraya-Watson Model

Jun 16

Hiroaki Kubo

Reproducing Human Movements Using Hierarchical Modeling and Matrix Stack Manipulation

This article is an introduction to hierarchical modeling and matrix stack manipulation. We use matrices in order to link different parts of…

Jun 15

Reproducing Human Movements Using Hierarchical Modeling and Matrix Stack Manipulation

Jun 15

Hiroaki Kubo

Implementing Mixture Density Network(MDN) Using Pytorch

The goal of surpervised learning is to model conditional probability p(t∣x), it is assumed that it is Gaussin distribution in many simple…

Jun 1

Implementing Mixture Density Network(MDN) Using Pytorch

Jun 1

Hiroaki Kubo

Hiroaki Kubo

Computer vision engineer. 3D computer vision/ Machine learning / Optimization / Graphics, https://www.linkedin.com/in/hiroaki-kubo-2819951ba/

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