Change Detection

ICT技術:ICT Technology

Application of AI to the semiconductor design process and semiconductor chips for AI applications

Design of semiconductors utilized for digital transformation, artificial intelligence, and machine learning tasks and chips for AI and AI (edge computing, Qualcomm Snapdragon Neural Processing Engine, Intel Nervana Neural Network Processor, Google TPU, NVIDIA Tesla GPU, self-learning, predictive analytics, pattern matching, optimization, anomaly detection, change detection, deep learning)
微分積分:Calculus

Protected: Anomaly detection by density ratio estimation – Anomaly Estimation from Unsupervised Data Using the Kullback-Leibler Density Ratio Estimation Method

Among the anomaly/change detection techniques used in digital transformation and artificial intelligence tasks, I will introduce a method for anomaly detection using probability density ratio for unsupervised data ,Kullback-Leibler density ratio estimation method
微分積分:Calculus

Anomaly and Change Detection Technologies

An overview of various machine learning techniques for anomaly and change detection used in digital transformation and artificial intelligence tasks
推論技術:inference Technology

Protected: Anomaly detection using the nearest neighbor method-Dealing with multimodal distributions and the Riemannian metric

Anomaly and change detection by the nearest neighbor method using Riemannian measurement to deal with multimodal data for digital transformation and artificial intelligence tasks.
異常検知・変化検知

Protected: Anomaly detection using simple Bayesian method -Differences from binary classification

Overview of Simple Bayesian Methods for Multivariate Anomaly/Change Detection for Digital Transformation and Artificial Intelligence Tasks
最適化:Optimization

Protected: Anomaly detection by T2 method for hoteling-Mahalanobis distance and chi-square distribution

Anomaly and change detection using the T2 method (Mahalanobis distance) of hoteling used in digital transformation and artificial intelligence tasks.
最適化:Optimization

Protected: Basic concept of anomaly and change detection – Neyman-Pearson Decision Rule

An Introduction to Machine Learning for Anomaly and Change Detection Used in Digital Transformation and Artificial Intelligence Tasks
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