Topics

Analysis and recognition of document images and handwritings using machine learning, such as Deep learning,
Convolutional Neural Network (CNN),
Recurrent Neural Network,
Semantic Analysis (e.g., Word Embedding and Topic Models),
Graphical Models and Their Optimization (e.g., HMM and CRF/MRF),
Feature Reduction and Selection (e.g., Sparse Representation and Latent Space Analysis),
Metric Learning, Ensemble Learning (e.g., Boosting and Random Forests),
Support Vector Machine (SVM),
Instance-Based Methods (e.g., k-Nearest Neighbour classifier),
Applications of Machine learning,

etc.