Deus Ex Machina

Statistical Feature Extraction(PCA,LDA,PCS,CCA)

Statistical feature extraction (Principal Component Analysis (PCA), Whitening, Fisher Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Partial Least Squares (PLS)) for robust local feature extraction in image recognition used in digital transformation (DX) and artificial intelligence (AI).

2021.09.13

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: Local Features (3) About Various Descriptors(SIFT,SURF,BRIEF,BRISK,HGO,GIST)

Overview of local descriptors (SIFT descriptors, CNN, SURF descriptors, BRISK descriptors, HLAC descriptors, GIST descriptors) for local feature extraction, which is the first step in image recognition for use in digital transformation (DX) and artificial intelligence (AI) tasks.

2021.09.12

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: Local Features (2) About Various Detectors(Edge, corner and blob detectors)

Overview of various detectors for local feature extraction in image recognition technology that can be used for artificial intelligence (AI) and digital transformation (DX) (edge detector, corner detector, blob detector)

2021.09.11

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: Local features (1) Overview of local features and various filtering processes

Overview of local feature extraction techniques and various filtering techniques in image recognition technology

2021.09.10

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: Overview of Image Recognition (2) Overview of the treatment process

Image recognition technology used in artificial intelligence (AI) and digital transformation (DX), specific recognition processes (class recognition, object recognition, instance recognition)

2021.09.09

機械学習:Machine Learning画像認識技術

Protected: Overview of Image Recognition (1) History and overview of image recognition technology

History and overview of image recognition technology used in AI and DX

2021.09.08

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: What is MCMC (Overview)

Markov Chain Monte Carlo (MCMC), a key tool in Bayesian inference for artificial intelligence (AI) tasks, digital transformation (DX), natural language processing, etc.

2021.09.07

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Bayesian Super Quick Learning (Basics of Bayesian Estimation and Hierarchical Bayesian Models)

The basics of Bayesian inference and hierarchical Bayesian models that can be used for various tasks, including state space models, hidden Markov models, Markov field models, and CAR models.

2021.09.06

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

R language and Machine Learning

Overview of the R language as a general-purpose tool for machine learning

2021.09.05

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

Protected: Sparse Modeling and Multivariate Analysis (11) Practical Examples of SVD, PMD, and NMF with R

Sparse Machine Learning, Matrix Decomposition (SVD, PMD, NMF) with R for Digital Transformation (DX), Artificial Intelligence (AI), Solid Line, BiocManager, PMA

2021.09.05

スパースモデリング機械学習:Machine Learning