Displaying 204 resources

Representation Learning for Natural Language Processing

Provides a comprehensive overview of the representation learning techniques for natural language processing. Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning. Shares insights into
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Distance-based Classification

This lecture overviews Distance-based Classification that has many applications in classification. It covers the following topics in detail: k-Nearest neighbor classification, Nearest neighbor graphs Supervised Learning Vector Quantization, LVQ1/2/3.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Neural SLAM

This lecture overviews Neural SLAM   that has many applications in robotic and autonomous vehicle localization and mapping.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Motion Estimation

Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Federated Learning

This lecture overviews  that has many applications in distributed Machine Learning and privacy protection.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Soccer Video Analysis

This lecture overviews Soccer Video Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Sports Analytics/coaching.
Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand