検索技術:Search Technology

Basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum whole tree)

An overview of basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum global tree) and some code in C++.

2022.02.23

アルゴリズム:Algorithmsグラフ理論推論技術:inference Technology最適化:Optimization検索技術:Search Technology

Knowledge Representation and Reasoning (1) – History of Knowledge Information Processing, Languages for Representing Knowledge and Prolog

History of knowledge information processing used in digital transformation and artificial intelligence tasks, and languages for representing knowledge, Prolog and predicate logic

2022.01.03

LISPprologSymbolic Logicエキスパートシステム:expertsystem検索技術:Search Technology

Protected: Instance recognition and retrieval (2) General image retrieval

Search optimization using tree structure, hashing, sequential quantization, spectral hashing, k-means hashing, etc. for digital transformation and artificial intelligence tasks, and evaluation using mAP and recall@R.

2022.01.02

データベース技術:DataBase Technology幾何学:Geometry微分積分:Calculus検索技術:Search Technology機械学習:Machine Learning

Rule base, knowledge base, expert system and relational data

Rule-based and knowledge-based and expert systems and relational data as knowledge information processing handling for use in digital transformation and artificial intelligence tasks.

2022.01.01

Symbolic Logicデータベース技術:DataBase Technology数理論理学:Mathematical logic検索技術:Search Technology

Knowledge Information Processing Technologies

Overview of techniques for handling the most important knowledge information in artificial intelligence tasks.

2021.12.19

LISPprologSymbolic Logicエキスパートシステム:expertsystemセマンテックウェブ技術:Semantic web Technologyデータベース技術:DataBase Technology推論技術:inference Technology数理論理学検索技術:Search Technology

Protected: Instance recognition and retrieval (1) Instance retrieval using BoVW

Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence

2021.10.04

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN

Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks.

2021.09.26

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Convolutional Neural Networks (2) CNN Overview and Implementation

Overview of convolutional neural networks, a deep learning technique used for image recognition.

2021.09.20

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Convolutional Neural Networks (1) Forward and Reverse Propagation Algorithms and Mini-Batch

Forward and back propagation algorithms and mini-batches as the basis for algorithms in DNNs that can be used for digital transformation and artificial intelligence tasks.

2021.09.19

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Overview of Kernel Methods and Support Vector Machines

On kernel methods, one of the breakthroughs in machine learning technology

2021.09.18

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing