推論技術:inference Technology

推論技術:inference Technology

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.
推論技術:inference Technology

Protected: Introduction to Hierarchical Bayes (from GLM to Hierarchical Bayesian Model)

Bayesian inference that can be used for artificial intelligence (AI), natural language, and digital transformation (DX); generate hierarchical Bayesian models from GLM models to solve complex statistical models
推論技術:inference Technology

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

Overview of convolutional neural networks, a deep learning technique used for image recognition.
推論技術:inference Technology

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.
推論技術:inference Technology

Overview of Kernel Methods and Support Vector Machines

On kernel methods, one of the breakthroughs in machine learning technology
推論技術:inference Technology

Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)

Algorithms for collective learning for data classification and evaluation of classification results (ensemble learning, bagging, boosting, random forests, cross-validation)
推論技術:inference Technology

Protected: Classification (3) Probabilistic Discriminant Function(Logistic, Softmax Regression) and Local Learning(K-nearest neighbor method, kernel density estimation)

Probabilistic discriminant functions and local learning used in classifiers for data classification
推論技術:inference Technology

Protected: Classification (2) Optimization process(Gradient Descent Method, Newton’s Method, Perceptron, SVM)

Classification techniques for image recognition for use in digital transformation (DX) and artificial intelligence (AI), perceptron, squared loss (Adakine algorithm), SVM (SGD-SVM algorithm)
推論技術:inference Technology

Protected: Classification (1) Algorithm of the classifier(Bayes Decision Rule)

Overview of Classification Algorithms for Image Recognition Used in Digital Transformation (DX) and Artificial Intelligence (AI) (Probabilistic Approach)
推論技術:inference Technology

Protected: Coding and pooling (BoVW、GMM)

Specific methods of coding and pooling to integrate local features of image recognition into vectors that can be used for digital transformation (DX) and artificial intelligence (AI) (BoVW, mixture Gaussian distribution (GMM), GMM supervector, Fisher vector, VLAD, VLAT).
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